Shusaku Tsumoto

发表

Towards Data-Oriented Hospital Services: Data Mining-Based Hospital Management

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Mining Trajectories of Laboratory Data using Multiscale Matching and Clustering

Shusaku Tsumoto, Shoji Hirano, 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

An Approach to Statistical Extention of Rough Set Rule Induction

Shusaku Tsumoto, S. Tsumoto, 2000, Rough Sets and Current Trends in Computing.

PRIMEROSE: Probabilistic Rule Induction Method Based on Rough Set Theory

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1993, RSKD.

Diagnostic Reasoning from the Viewpoint of Rough Sets

Shusaku Tsumoto, 2000, Rough Sets and Current Trends in Computing.

Selection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods

Hiroshi Tanaka, Shusaku Tsumoto, 1994, KDD Workshop.

Data Mining Oriented Software Quality Estimation

Shusaku Tsumoto, Shoji Hirano, 2016 .

Constructing features for document classification by using temporal patterns of term usages

Shusaku Tsumoto, Hidenao Abe, 2011, 2011 IEEE International Conference on Granular Computing.

Estimation of Disease Code from Electronic Patient Records

Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Partial statistical independence in contingency matrix

Shusaku Tsumoto, Shoji Hirano, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Statistical Estimation of Software Quality in Hospital Information System

Shusaku Tsumoto, Shoji Hirano, Toshihiko Kawamura, 2015, ICServ.

An Approach to Electronization of Hand-written Patient Records - Scanned Hand-Written Chart

Shusaku Tsumoto, Masami Nagira, S. Tsumoto, 2001, MedInfo.

Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (I)

Shusaku Tsumoto, Yingxu Wang, Du Zhang, 2009, Fundam. Informaticae.

Investigating accuracies of rule evaluation models on randomized labeling and human evaluation

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2008, 2008 IEEE International Conference on Granular Computing.

Construction and maintenance of clinical pathways using data mining methods

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2012, MIXHS '12.

Context-Free Fuzzy Sets in Data Mining Context

Tsau Young Lin, Shusaku Tsumoto, S. Tsumoto, 1999, RSFDGrC.

Developing a Rule Evaluation Support Method Based on Objective Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, RSKT.

Healthcare IT: Integration of consumer healthcare data and electronic medical records for chronic disease management

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2014, 2014 IEEE International Conference on Granular Computing (GrC).

Formal analysis of cross-validation based on decremental sampling scheme

Shusaku Tsumoto, Shoji Hirano, 2014, 2014 IEEE International Conference on Granular Computing (GrC).

A rule evaluation support method with learning models based on objective rule evaluation indexes

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Identifying Exacerbating Cases in Chronic Diseases Based on the Cluster Analysis of Trajectory Data on Laboratory Examinations

Shusaku Tsumoto, Shoji Hirano, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Statistical Independence of Multi-variables from the Viewpoint of Linear Algebra

Shusaku Tsumoto, Shoji Hirano, 2008, RSCTC.

Construction of Discharge Summaries Classifier

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2017, 2017 IEEE International Conference on Healthcare Informatics (ICHI).

Formal analysis of leave-one out method based on decremental sampling scheme

Shusaku Tsumoto, Shoji Hirano, 2014, SMC.

Proceedings of the 3rd ECML/PKDD international conference on Mining complex data

Shusaku Tsumoto, Djamel A. Zighed, Zbigniew W. Raś, 2007 .

Mining Rules for Risk Factors on Blood Stream Infection in Hospital Information System

Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama, 2007, 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007).

Medical Reasoning and Rough Sets

Shusaku Tsumoto, 2007, RSEISP.

Analyzing Behavior of Objective Rule Evaluation Indices Based on Pearson Product-Moment Correlation Coefficient

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2008, ISMIS.

Towards Data-Oriented Schedule Management in Hospital

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2014, 2014 Annual SRII Global Conference.

International workshop on risk informatics (RI2007): approach from data mining and statistics

Shusaku Tsumoto, Takashi Washio, S. Tsumoto, 2007 .

Bridging Gap between Existing KDD methods and Applicable Medical Datasets

Shusaku Tsumoto, S. Tsumoto, 2000 .

Data Structure and Algorithm in Data Mining: Granular Computing View

Shusaku Tsumoto, 2006, COMPSAC.

Interpretation of Contingency Matrix Using Marginal Distributions

Shusaku Tsumoto, Shoji Hirano, 2006, RSCTC.

Incremental Updates of Rough Set-Based Probabilistic Rules

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2016, 2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN).

Special issue on data mining for decision making and risk management

Tzung-Pei Hong, Shusaku Tsumoto, 2011, Journal of Intelligent Information Systems.

Visualization of differences between rules' syntactic and semantic similarities

Shusaku Tsumoto, 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

Formal analysis of leave-one out method based on decremental sampling scheme

Shusaku Tsumoto, Shoji Hirano, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Incremental Rules Induction Based on Rule Layers

Shusaku Tsumoto, Shoji Hirano, 2012, RSKT.

Mining Interesting Patterns in Time-series Medical Databases: A Hybrid Approach of Multiscale Matching and Rough Clustering

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2002, AMIA.

A Parallel, Structural Comparison Scheme of Time-Series Implemented on a PC Cluster

Shusaku Tsumoto, S. Hirano, 2005 .

Segmentation of Medical Images Based on Approximations in Rough Set Theory

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2002, Rough Sets and Current Trends in Computing.

Analysis of Time-series Medical Databases Using Multiscale Structure Matching and Rough Sets-based.

Shusaku Tsumoto, Shoji Hirano, Xiaoguang Sun, 2001 .

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2012, 2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing.

Trajectories mining in hospital information systems

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Risk Mining in Medicine: Application of Data Mining to Medical Risk Management

Shusaku Tsumoto, Yuko Tsumoto, Kimiko Matsuoka, 2006, WImBI.

Comparing order entry subsequences related to CPOE correction factors

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).

Correlation and Regression Analysis for Characterizations of a University Hospital

Shusaku Tsumoto, Yuko Tsumoto, S. Tsumoto, 2011, Rev. Socionetwork Strateg..

Evaluating Learning Algorithms to Support Human Rule Evaluation with Predicting Interestingness Based on Objective Rule Evaluation Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2008, Communications and Discoveries from Multidisciplinary Data.

Web based medical decision support system for neurological diseases

Shusaku Tsumoto, S. Tsumoto, 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).

Statistical Independence and Contingency Matrix

Shusaku Tsumoto, Shoji Hirano, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Automated knowledge acquisition from clinical databases based on rough sets and attribute-oriented generalization

Shusaku Tsumoto, 1998, AMIA.

Contingency Matrix Theory II: Degree of Dependence as Granularity

Shusaku Tsumoto, Shoji Hirano, 2009, Fundam. Informaticae.

Wireless LAN systems as a component of the communication infrastructure of a hospital: Insuring availability and security

Shusaku Tsumoto, Takato Kudou, Eisuke Hanada, 2013, 2013 Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC).

Residual Matrix and Statistical Independence in a Contingency Table

Shusaku Tsumoto, Shoji Hirano, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

A "Ubiquitous Environment" through Wireless Voice/Data Communication and a Fully Computerized Hospital Information System in a University Hospital

Shusaku Tsumoto, Eisuke Hanada, Shotai Kobayashi, 2010, E-HEALTH.

Granularity-based temporal data mining in hospital information system

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2013, 2013 IEEE International Conference on Big Data.

Clinical schedule management based on granularity-based mining

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2013, 2013 IEEE International Conference on Cybernetics (CYBCO).

Rough Set Methods and Applications

Tsau Young Lin, Shusaku Tsumoto, Lech Polkowski, 2000 .

Automated discovery of chronological patterns in long time‐series medical datasets

Shusaku Tsumoto, Shoji Hirano, 2005, Int. J. Intell. Syst..

Mining Typical Order Sequences from EHR for Building Clinical Pathways

Shusaku Tsumoto, Shoji Hirano, 2014, PAKDD Workshops.

Comparing Accuracies of Rule Evaluation Models to Determine Human Criteria on Evaluated Rule Sets

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Pearson residuals in multi-way contingency tables

Shusaku Tsumoto, Shoji Hirano, Hidenao Abe, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Discovering Research Key Terms as Temporal Patterns of Importance Indices for Text Mining

Shusaku Tsumoto, Hidenao Abe, 2010, KES.

Incremental learning of probabilistic rules from clinical databases based on rough set theory

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1997, AMIA.

A method to characterize dataset based on objective rule evaluation indices

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2009, Defense + Commercial Sensing.

Information granules in medical differential diagnosis

Shusaku Tsumoto, Shoji Hirano, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Detecting Temporal Trends of Technical Phrases by Using Importance Indices and Linear Regression

Shusaku Tsumoto, Hidenao Abe, 2009, ISMIS.

Clinical Knowledge Discovery in Hospital Information Systems: Two Case Studies

Shusaku Tsumoto, S. Tsumoto, 2000, PKDD.

Rough representation of a region of interest in medical images

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2005, Int. J. Approx. Reason..

Foundations of data mining via granular and rough computing

Tsau Young Lin, Shusaku Tsumoto, James F. Peters, 2002, Proceedings 26th Annual International Computer Software and Applications.

Contingency matrix theory: Statistical dependence in a contingency table

Shusaku Tsumoto, S. Tsumoto, 2009, Inf. Sci..

Statistical Independence from the Viewpoint of Linear Algebra

Shusaku Tsumoto, S. Tsumoto, 2005, ISMIS.

Automated Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1995, KDD.

Data decomposition and dual clustering for clinical care management

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Linear Independence in Contingency Table

Shusaku Tsumoto, S. Tsumoto, 2005, RSFDGrC.

Contingency matrix theory

Shusaku Tsumoto, Shoji Hirano, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

PRIMEROSE: PROBABILISTIC RULE INDUCTION METHOD BASED ON ROUGH SETS AND RESAMPLING METHODS

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1995, Comput. Intell..

Degree of Dependence as Granularity in a Contingency Table

Shusaku Tsumoto, Shoji Hirano, 2005, 2005 IEEE International Conference on Granular Computing.

Incremental discovery of probabilistic rules from clinical databases based on rough set theory

Shusaku Tsumoto, 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).

Clustering Time-Series Medical Databases Based on the Improved Multiscale Matching

Shusaku Tsumoto, Shoji Hirano, 2005, ISMIS.

Algebraic Formulation of Empirical Learning Methods Based on Rough Sets and Matroid Theory

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1995, WOCFAI.

Evaluating a method to detect temporal trends of phrases in research documents

Shusaku Tsumoto, Hidenao Abe, 2009, 2009 8th IEEE International Conference on Cognitive Informatics.

Evaluating Model Construction Methods with Objective Rule Evaluation Indices to Support Human Experts

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, MDAI.

Layered Rule Induction

Shusaku Tsumoto, Shoji Hirano, 2015, ITQM.

Clustering of Order Sequences Based on the Typicalness Index for Finding Clinical Pathway Candidates

Shusaku Tsumoto, Shoji Hirano, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering

Shusaku Tsumoto, Yingxu Wang, Bernard Widrow, 2017, Int. J. Cogn. Informatics Nat. Intell..

Evaluating a rule evaluation support method with learning models based on objective rule evaluation indices - a case study with a meningitis data mining result

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

Extraction of Experts' Decision Rules from Clinical Databases Using Rough Set Model

Shusaku Tsumoto, 1998, Intell. Data Anal..

Curvature Maxima-based Trajectories Mining

Shusaku Tsumoto, Shoji Hirano, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Mining hierarchical temporal association rules in a publication database

Tzung-Pei Hong, Shusaku Tsumoto, Guo-Cheng Lan, 2013, 2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing.

Cluster analysis of long time-series medical datasets

Shusaku Tsumoto, Shoji Hirano, 2004, SPIE Defense + Commercial Sensing.

Introducing the book

Tsau Young Lin, Shusaku Tsumoto, Lech Polkowski, 2000 .

Clinical application of the integrated multicenter discharge summary database

Shusaku Tsumoto, Shunsuke Doi, Yutaka Hatakeyama, 2015, MedInfo.

Shusaku Tsumoto, Shoji Hirano, Xiaoguang Sun, 2002, Proceedings 26th Annual International Computer Software and Applications.

A Framework for Unsupervised Selection of Indiscernibility Threshold in Rough Clustering

Shusaku Tsumoto, Shoji Hirano, 2006, RSCTC.

Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Testing

Shusaku Tsumoto, Shoji Hirano, 2010, ICDM Workshops.

Problems with mining medical data

Shusaku Tsumoto, 2000, Proceedings 24th Annual International Computer Software and Applications Conference. COMPSAC2000.

Evaluation of rule interestingness measures in medical knowledge discovery in databases

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, Artif. Intell. Medicine.

Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets aaand Medical Diagnostic Model

Shusaku Tsumoto, 2002, PKDD.

Representation of Granularity for Non-Euclidian Relational Data by Jaccard Coefficients and Binary Classifications

Shusaku Tsumoto, Shoji Hirano, 2010, RSCTC.

Ensuring the Security and Availability of a Hospital Wireless LAN System

Shusaku Tsumoto, Takato Kudou, Eisuke Hanada, 2013, MedInfo.

Algebraic Specification of Empirical Inductive Learning Methods based on Rough Sets and Matroid Theory

Hiroshi Tanaka, Shusaku Tsumoto, 1994, AISMC.

Rule Discovery in Databases with Missing Values Based on Rough Set Model

Shusaku Tsumoto, 1999, PAKDD.

Incremental Rule Induction Based on Rough Set Theory

Shusaku Tsumoto, 2011, ISMIS.

Analyzing Correlation Coefficients of Objective Rule Evaluation Indices on Classification Rules

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2008, RSKT.

Automated discovery of chronological patterns in long time-series medical datasets: Research Articles

Shusaku Tsumoto, Shoji Hirano, 2005 .

Evaluation of Leave-One Out Method Based on Incremental Sampling Scheme

Shusaku Tsumoto, Shoji Hirano, 2014, RSEISP.

A new framework for incremental rule induction based on rough sets

Shusaku Tsumoto, 2011, 2011 IEEE International Conference on Granular Computing.

Accuracy and Coverage in Rough Set Rule Induction

Shusaku Tsumoto, S. Tsumoto, 2002, Rough Sets and Current Trends in Computing.

Visualization of Hospital Services Using Data Mining Methods

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Improving a rule evaluation support method based on objective indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2010, Int. J. Adv. Intell. Paradigms.

Cluster Analysis of Time-Series Medical Data Based on the Trajectory Representation and Multiscale Comparison Techniques

Shusaku Tsumoto, Shoji Hirano, 2006, Sixth International Conference on Data Mining (ICDM'06).

Pawlak Rough Set Model, Medical Reasoning and Rule Mining

Shusaku Tsumoto, 2006, RSCTC.

Constructing Feature Set by Using Temporal Clustering of Term Usages in Document Categorization

Shusaku Tsumoto, Hidenao Abe, 2013 .

Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach

Shusaku Tsumoto, Shoji Hirano, 2003, PAKDD.

Qualitative Simulation Based on Ranked Hyperreals

Shusaku Tsumoto, S. Tsumoto, 2010, 2010 IEEE International Conference on Granular Computing.

Incremental Induction of Probabilistic Rules Based on Incremental Sampling Scheme

Shusaku Tsumoto, Shoji Hirano, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Rule Induction with Grouping Target Concepts based on Rough Sets

Shusaku Tsumoto, 2003, Electron. Notes Theor. Comput. Sci..

Distribution of derminants of contingency tables

Shusaku Tsumoto, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Discovery of exacerbating cases in chronic hepatitis based on cluster analysis of time-series platelet count data

Shusaku Tsumoto, Shoji Hirano, 2007, SPIE Defense + Commercial Sensing.

AQ, Rough Sets, and Matroid Theory

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1993, RSKD.

Detecting temporal patterns of technical phrases by using importance indices in a research documents

Shusaku Tsumoto, Hidenao Abe, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Evaluating a Constructive Meta-learning Algorithm for a Rule Evaluation Support Method Based on Objective Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, KES.

Evaluation of set-based indices based on incremental sampling framework

Shusaku Tsumoto, Shoji Hirano, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Incremental Rules Induction Method Based on Three Rule Layers

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2012, ISMIS.

A clustering method for asymmetric proximity data based on bi-links with ε-indiscernibility

Shusaku Tsumoto, Shoji Hirano, 2011, 2011 IEEE International Conference on Granular Computing.

Exploratory Univariate Analysis on the Characterization of a University Hospital: A Preliminary Step to Data-Mining-Based Hospital Management Using an Exploratory Univariate Analysis of a University Hospital

Shusaku Tsumoto, Yuko Tsumoto, S. Tsumoto, 2010, Rev. Socionetwork Strateg..

Perspectives on eBrain and Cognitive Computing

Shusaku Tsumoto, Yingxu Wang, Witold Kinsner, 2012, Int. J. Cogn. Informatics Nat. Intell..

Homological analysis of statistical dependence

Shusaku Tsumoto, Shoji Hirano, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A Parallel, Structural Comparison Scheme of Time-Series Implemented on a PC Cluster

Shusaku Tsumoto, Shoji Hirano, 2005, 2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops).

Formal Analysis of Statistical Dependence Based Homological Algebra

Shusaku Tsumoto, Shoji Hirano, 2014, 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

Multistrategic data mining in a clinical meningoencephalitis database

Shusaku Tsumoto, 1998, SIGB.

Detection of risk factors using trajectory mining

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2011, Journal of Intelligent Information Systems.

A Common Algebraic Framework of Empirical Learning Methods Based on Rough Sets and Matroid Theory

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1996, Fundam. Informaticae.

Strucutural Comparison and Cluster Analysis of Time-Series Medical Data

Shusaku Tsumoto, Shoji Hirano, 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

Multiscale Comparison of Three-Dimensional Trajectories Based on the Curvature Maxima and Its Application to Medicine

Shusaku Tsumoto, Shoji Hirano, 2010, SBP.

Information Reuse in Hospital Information Systems: A Similarity-Oriented Data Mining Approach

Shusaku Tsumoto, Shoji Hirano, 2011, RSKT.

New Frontiers in Applied Data Mining, PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers

Shusaku Tsumoto, Takashi Washio, Sanjay Chawla, 2009, PAKDD Workshops.

Multidimensional temporal mining in hospital information system

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2016, Int. J. Comput. Intell. Stud..

Rough sets and knowledge technology: proceedings of the 4th International Conference on Rough Sets and Knowledge Technology

Shusaku Tsumoto, Yiyu Yao, Guoyin Wang, 2009 .

Evaluating Learning Models with Transitions of Human Interests Based on Objective Rule Evaluation Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, MedInfo.

Some Remarks on the Concept of Approximations from the View of Knowledge Engineering

Tsau Young Lin, Shusaku Tsumoto, Rushin Barot, 2010, Int. J. Cogn. Informatics Nat. Intell..

An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations

Shusaku Tsumoto, Shoji Hirano, 2003, PKDD.

Decomposition of Contingency Table as Tensor Product

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Pattern discovery based on rule induction and taxonomy generation

Shusaku Tsumoto, Shoji Hirano, 2003, Third IEEE International Conference on Data Mining.

Risk Mining in Hospital Information Systems

Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Rule Mining Based on Nonmonotonic Rule Layers and Its Application to Medicine

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Multidimensional temporal mining in clinical data

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2012, IHI '12.

FML-based Japanese diet assessment system

Shusaku Tsumoto, Hiroshi Tsuji, Chang-Shing Lee, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Role of Sample Size and Determinants in Granularity of Contingency Matrix

Shusaku Tsumoto, 2008, Data Mining: Foundations and Practice.

Risk Mining: Mining Nurses' Incident Factors and Application of Mining Results to Prevention of Incidents

Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama, 2006, RSCTC.

Induction of Positive and Negative Deterministic Rules based on Rough Set Model

Shusaku Tsumoto, S. Tsumoto, 1997, ISMIS.

Machine Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1996, Intell. Autom. Soft Comput..

Hierarchical clustering of asymmetric proximity data based on the indiscernibility-level

Shusaku Tsumoto, Shoji Hirano, 2008, 2008 IEEE International Conference on Granular Computing.

Analysis of Research Keys as Tempral Patterns of Technical Term Usages in Bibliographical Data

Shusaku Tsumoto, Hidenao Abe, 2010, AMT.

Evaluating Learning Algorithms to Construct Rule Evaluation Models Based on Objective Rule Evaluation Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, 6th IEEE International Conference on Cognitive Informatics.

Foundations of Intelligent Systems, 15th International Symposium, ISMIS 2005, Saratoga Springs, NY, USA, May 25-28, 2005, Proceedings

Shusaku Tsumoto, Mohand-Said Hacid, Zbigniew W. Ras, 2005, ISMIS.

Risk Mining - Overview

Shusaku Tsumoto, Takashi Washio, 2006, JSAI.

On the Nature of Degree of Indiscerniblity for Rough Clustering

Shusaku Tsumoto, Shoji Hirano, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Extracting Structure of Medical Diagnosis: Rough Set Approach

Shusaku Tsumoto, 2003, RSFDGrC.

Hospital Management Based on Data Mining

Shusaku Tsumoto, Shoji Hirano, 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.

Matryoshka Principle for Rule Mining Selection

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2016 .

Automated Knowledge Discovery In Clinical Databases Based On Rough Set Model

Shusaku Tsumoto, 2000 .

Mining probabilistic rules using nonmonotonic rule layers

Shusaku Tsumoto, Shoji Hirano, 2015, 2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC).

Modeling Decisions for Artificial Intelligence

Shusaku Tsumoto, Yaxin Bi, Yoichiro Maeda, 2010, Lecture Notes in Computer Science.

Comparison of induced rules based on likelihood estimation

Shusaku Tsumoto, 2002, SPIE Defense + Commercial Sensing.

A Clustering Method Based on Rough Sets and Its Application to Knowledge Discovery in the Medical Database

Yutaka Hata, Shusaku Tsumoto, Shoji Hirano, 2001, MedInfo.

Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (II)

Shusaku Tsumoto, Yingxu Wang, Du Zhang, 2009, Fundam. Informaticae.

Mining frequent temporal patterns from medical data based on fuzzy ranged relations

Shusaku Tsumoto, Shoji Hirano, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Automated Extraction of Medical Expert System Rules from Clinical Databases on Rough Set Theory

Shusaku Tsumoto, S. Tsumoto, 1998, Inf. Sci..

Contingency Matrix Theory I: Rank and Statistical Independence in a Contigency Table

Shusaku Tsumoto, Shoji Hirano, 2008, Trans. Comput. Sci..

Automated Discovery of Decision Rule Chains Using Rough Sets and Medical Diagnostic Model

Shusaku Tsumoto, 2002, ISMIS.

Mining hospital management data

Shusaku Tsumoto, Yuko Tsumoto, 2006, SPIE Defense + Commercial Sensing.

International Workshop on Risk Informatics (RI2007)

Shusaku Tsumoto, Takashi Washio, 2007, JSAI.

Geometrical interpretation of pearson residuals

Shusaku Tsumoto, Shoji Hirano, 2012, 2012 IEEE International Conference on Granular Computing.

Characterization of contextual independence of contingency matrix

Shusaku Tsumoto, Shoji Hirano, 2006, 2006 IEEE International Conference on Granular Computing.

Diagnostic reasoning as granular computing

Shusaku Tsumoto, 2000, PeachFuzz 2000. 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.00TH8500).

Evaluating learning algorithms for a rule evaluation support method

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Data-oriented maintenance of clinical pathway using clustering and multidimensional scaling

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Capturing Behavior of Medical Staff: A Similarity-Oriented Temporal Data Mining Approach

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2011, FGIT.

A Clustering Method for Medical Databases Based on Rough Set Theory

Yutaka Hata, Shusaku Tsumoto, Shoji Hirano, 2001 .

Multiscale Comparison of Three-Dimensional Trajectories: A Preliminary Step

Shusaku Tsumoto, Shoji Hirano, 2009, RSFDGrC.

Geometrical and Combinatorial Nature of Pearson Residuals

Shusaku Tsumoto, Shoji Hirano, 2010, 2010 IEEE International Conference on Granular Computing.

Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model

Shusaku Tsumoto, S. Tsumoto, 2004, Inf. Sci..

Exploratory temporal data mining process in hospital information systems

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2012, 2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing.

Mining process for improvement of clinical process quality

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Data-Oriented Construction and Maintenance of Clinical Pathway Using Similarity-Based Data Mining Methods

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

On Pseudo-Statistical Independence in a Contingency Table

Shusaku Tsumoto, 2008, Data Mining: Foundations and Practice.

The Application of Rough Sets-Based Data Mining Technique to Differential Diagnosis of Meningoenchepahlitis

Shusaku Tsumoto, Wojciech Ziarko, 1996, ISMIS.

Discovery of Approximate Medical Knowledge Based on Rough Set Model

Shusaku Tsumoto, S. Tsumoto, 1998, PKDD.

Data Mining Analysis of Relationship between Blood Stream Infection and Clinical Background in Patients Undergoing Lactobacillus Therapy

Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama, 2007, 2007 IEEE/ICME International Conference on Complex Medical Engineering.

Active Mining: Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003, Revised Selected Papers (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)

Shusaku Tsumoto, Masayuki Numao, Takahira Yamaguchi, 2005 .

Hierarchical Clustering of Non-Euclidean Relational Data Using Indiscernibility-Level

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2008, RSKT.

Discovery of Rules about Compilations - A Rough Set Approach in Medical Knowledge Discovery

Shusaku Tsumoto, 1999, RSFDGrC.

Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management

Shusaku Tsumoto, Deborah Richards, Byeong Ho Kang, 2006 .

Detection of Differences between Syntactic and Semantic Similarities

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2004, Rough Sets and Current Trends in Computing.

Argumentation with Goals for Clinical Decision Support in Multimorbidity

Shusaku Tsumoto, Paulo Novais, Ken Satoh, 2018, AAMAS.

Medical Differential Diagnosis from the Viewpoint of Rough Sets

Shusaku Tsumoto, S. Tsumoto, 2007 .

A Case Study of Sequence Pattern Mining on Medical Multiple Sequential Data( Development of Sequential Pattern Mining and Its Applications)

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2012 .

Information Granules for Spatial Reasoning

Shusaku Tsumoto, Andrzej Skowron, Jaroslaw Stepaniuk, 2001, PAKDD.

Maintenance and Discovery of Domain Knowledge for Nursing Care using Data in Hospital Information System

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2015, Fundam. Informaticae.

Combinatorics in Pearson residuals

Shusaku Tsumoto, Shoji Hirano, 2013, Int. J. Knowl. Eng. Soft Data Paradigms.

Discovery of Clinical Knowledge in Hospital Information Systems: Two Case Studies

Shusaku Tsumoto, S. Tsumoto, 2000, ISMIS.

On Degree of Dependence Based on Contingency Matrix

Shusaku Tsumoto, Shoji Hirano, 2005, RSFDGrC.

Evaluating Learning Algorithms to Support Human Rule - Evaluation Based on Objective Rule Evaluation Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, Data Sci. J..

Mining text for disease diagnosis in hospital information system

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Granular formalization of medical diagnostic process

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Empirical Evaluation of Dissimilarity Measures for Time-Series Multiscale Matching

Shusaku Tsumoto, Shoji Hirano, 2003, ISMIS.

Text Categorization with Considering Temporal Patterns of Term Usages

Shusaku Tsumoto, Hidenao Abe, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Induction of Probabilistic Rules Based on Rough Set Theory

Hiroshi Tanaka, Shusaku Tsumoto, 1993, ALT.

Evaluation of Learning Costs of Rule Evaluation Models Based on Objective Indices to Predict Human Hypothesis Construction Phases

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007, 2007 IEEE International Conference on Granular Computing (GRC 2007).

Visualization of doctors' behavior using similarity-based methods

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2012, 2012 IEEE International Conference on Granular Computing.

Mining Clinical Pathway Based on Clustering and Feature Selection

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2013, Brain and Health Informatics.

Combinatorics of pearson residuals and degree of freedom in contingency tables

Shusaku Tsumoto, Shoji Hirano, 2011, 2011 IEEE International Conference on Granular Computing.

Evaluation of Learning Algorithms to Construct Valid Rule Evaluation Models Based on Objective Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007 .

Linguistic Variables Construction in Information Table

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2016, IJCRS.

Characterizing Hospital Services Using Temporal Data Mining

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2012, 2012 Annual SRII Global Conference.

Mining Schedule of Nursing Care Based on Dual-Clustering

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2015, ITQM.

On the Degree of Independence of a Contingency Matrix

Shusaku Tsumoto, Shoji Hirano, 2004, Rough Sets and Current Trends in Computing.

Workshop on Rough Set Theory and Granular Computing - Summary

Shusaku Tsumoto, Shoji Hirano, Masahiro Inuiguchi, 2001, JSAI Workshops.

Data mining in hospital information system for hospital management

Shusaku Tsumoto, Shoji Hirano, 2009, 2009 ICME International Conference on Complex Medical Engineering.

On Constructing Clusters from Non-Euclidean Dissimilarity Matrix by Using Rough Clustering

Shusaku Tsumoto, Shoji Hirano, 2005, JSAI Workshops.

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2014, Future Gener. Comput. Syst..

Qualitative fuzzy sets and granularity

Tsau Young Lin, Shusaku Tsumoto, S. Tsumoto, 2008, 2008 7th IEEE International Conference on Cognitive Informatics.

Extraction of Experts' Decision Process from Clinical Databases Using Rough Set Model

Shusaku Tsumoto, 1997, PKDD.

Linear independence in a contingency table

Shusaku Tsumoto, Shoji Hirano, 2005, 2005 IEEE International Conference on Granular Computing.

Perspectives on Cognitive Computers and Knowledge Processors

Shusaku Tsumoto, Yingxu Wang, Witold Kinsner, 2013, Int. J. Cogn. Informatics Nat. Intell..

Empirical Comparison of Similarities for Agglomerative Hierarchical Clustering

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Statistical test for rough set approximation

Shusaku Tsumoto, 2002, SPIE Defense + Commercial Sensing.

Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, PAKDD.

Mining Text for Disease Diagnosis

Shusaku Tsumoto, Haruko Iwata, Tomohiro Kimura, 2017, ITQM.

Automated Discovery of Medical Expert System Rules from Clinical Databases Based on Rough Sets

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1996, KDD.

Finding Functional Groups of Objective Rule Evaluation Indices Using PCA

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2008, PAKM.

Mining Rules of Multi-level Diagnostic Procedure from Databases

Shusaku Tsumoto, 2003, PKDD.

Mining Diagnostic Rules with Taxonomy from Medical Databases

Shusaku Tsumoto, 2003, ISMIS.

Computational Analysis of Acquired Dyslexia of Kanji Characters based on Conventional and Rough Neural Networks

Shusaku Tsumoto, 2004, Rough-Neural Computing: Techniques for Computing with Words.

Information Granules of Statistical Dependence in Multiway Contingency Tables

Shusaku Tsumoto, Shoji Hirano, 2010, 2010 IEEE International Conference on Granular Computing.

Advances in Knowledge Acquisition and Management

Shusaku Tsumoto, Deborah Richards, Byeong Ho Kang, 2008 .

Formal analysis of cross-validation for rule induction using probabilistic indices

Shusaku Tsumoto, Shoji Hirano, 2014, 2014 IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing.

Evaluation of similarity measures for analysis of databases on laboratory examinations

Shusaku Tsumoto, Shoji Hirano, Xiaoguang Sun, 2002, SPIE Defense + Commercial Sensing.

Degree of freedom and numbers of subdeterminants in contingency table

Shusaku Tsumoto, Shoji Hirano, 2012, 2012 IEEE International Conference on Granular Computing.

Clinical decision support based on mobile telecommunication systems

Shusaku Tsumoto, Shoji Hirano, Hidenao Abe, 2005, The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05).

Multiscale Analysis of Long Time-series Medical Databases

Shusaku Tsumoto, Shoji Hirano, 2003, AMIA.

Transactions on Rough Sets XII

Shusaku Tsumoto, Roman Słowiński, James F. Peters, 2010, Lecture Notes in Computer Science.

Data-Oriented Maintenance of Schedule Management of Nursing Care

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2013, ICServ.

Construction of Clinical Pathway Generation from Nursing Records and Discharge Summaries

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Comparison of clustering methods for clinical databases

Shusaku Tsumoto, Shoji Hirano, Xiaoguang Sun, 2004, Inf. Sci..

On statistical independence of a contingency matrix

Shusaku Tsumoto, Shoji Hirano, 2005, SPIE Defense + Commercial Sensing.

Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model

Shusaku Tsumoto, S. Tsumoto, 2001, PKDD.

Incremental induction of medical diagnostic rules

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2013, GrC.

Statistical dependence in contingency data cube

Shusaku Tsumoto, Shoji Hirano, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

Comparing a Clustering Density Criteria of Temporal Patterns of Terms Obtained by Different Feature Sets

Shusaku Tsumoto, Hidenao Abe, 2011, RSKT.

Granular Rules for Medical Diagnosis

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2019, IFSA/NAFIPS.

Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, ICDM Workshops.

Evaluating Learning Algorithms for a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, ISMIS.

Clinical Pathway Generation Based on Hierarchical Clustering and EM Clustering

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Finding Interesting Pass Patterns from Soccer Game Records

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2004, PKDD.

Risk Mining for Infection Control

Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama, 2008, Communications and Discoveries from Multidisciplinary Data.

Chance discovery in medicine — Detection of rare risky events in chronic diseases —

Shusaku Tsumoto, 2009, New Generation Computing.

Construction of the Integrated Multicentre Discharge Summary Database

Shusaku Tsumoto, Shunsuke Doi, Yutaka Hatakeyama, 2013, MedInfo.

Three dimensional trajectories mining

Shusaku Tsumoto, Shoji Hirano, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, RSCTC.

Advances in Knowledge Acquisition and Management, Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, August 7-8, 2006, Revised Selected Papers

Shusaku Tsumoto, Deborah Richards, Byeong Ho Kang, 2006, PKAW.

A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2005, RSFDGrC.

Discharge Summaries Classifier

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2017, IIH-MSP.

Granularity in Temporal Data Mining

Shusaku Tsumoto, Shoji Hirano, 2008 .

Visualization of rule's similarity using multidimensional scaling

Shusaku Tsumoto, Shoji Hirano, 2003, Third IEEE International Conference on Data Mining.

Active mining process for software quality estimation

Shusaku Tsumoto, Shoji Hirano, 2016, 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC).

Proceedings - Advances in Knowledge Acquisition and Management

Shusaku Tsumoto, Deborah Richards, Byeong Ho Kang, 2006 .

Discovery of Risky Cases in Chronic Diseases: An Approach Using Trajectory Grouping

Shusaku Tsumoto, Shoji Hirano, 2007, JSAI.

Evaluating Learning Algorithms with Meta-learning Schemes for a Rule Evaluation Support Method Based on Objective Indices

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, PKAW.

Mining Diagnostic Taxonomy and Diagnostic Rules for Multi-Stage Medical Diagnosis from Hospital Clinical Data

Shusaku Tsumoto, 2007, 2007 IEEE International Conference on Granular Computing (GRC 2007).

Trend detection from large text data

Shusaku Tsumoto, Hidenao Abe, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Workshop on Active Mining (AM-2004)

Shusaku Tsumoto, Masayuki Numao, Takahira Yamaguchi, 2004, JSAI Workshops.

Meaning of Pearson Residuals Linear Algebra View

Shusaku Tsumoto, Shoji Hirano, 2007, 2007 IEEE International Conference on Granular Computing (GRC 2007).

Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence

Shusaku Tsumoto, Takao Terano, Toyoaki Nishida, 2001 .

Probabilistic rule induction based on incremental sampling scheme

Shusaku Tsumoto, Shoji Hirano, 2014, 2014 IEEE International Conference on Granular Computing (GrC).

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Medical diagnostic rules as upper approximation of rough sets

Shusaku Tsumoto, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Analysis of sample size effect on dependency of contingency matrix

Shusaku Tsumoto, Shoji Hirano, 2006, 2006 IEEE International Conference on Granular Computing.

Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets

Shusaku Tsumoto, Einoshin Suzuki, 2000, PAKDD.

On Statistical Independence in a Contingency Table

Shusaku Tsumoto, S. Tsumoto, 2005, Foundations of Data Mining and knowledge Discovery.

Towards visualization of rules based on rough sets and graphical modeling

Shusaku Tsumoto, S. Tsumoto, 2003, SPIE Defense + Commercial Sensing.

Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion

Shusaku Tsumoto, 1999, PAKDD.

Validation of concept representation with rule induction and linguistic variables

Shusaku Tsumoto, S. Tsumoto, 2002 .

Construction of linguistic variables based on rule induction and concept hierarchy

Shusaku Tsumoto, Shoji Hirano, 2016, 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC).

Residual as Linear Sum of Matrix Determinants in Multiway Contingency Tables

Shusaku Tsumoto, Shoji Hirano, 2011, Int. J. Comput. Intell. Syst..

Modelling Medical Diagnostic Rules Based on Rough Sets

Shusaku Tsumoto, S. Tsumoto, 1998, Rough Sets and Current Trends in Computing.

Statistical Test for Rough Set Approximation Based on Fisher's Exact Test

Shusaku Tsumoto, 2002, Rough Sets and Current Trends in Computing.

Statistical extension of rough set rule induction

Shusaku Tsumoto, 2001, SPIE Defense + Commercial Sensing.

Installation of Secure, Always Available Wireless LAN Systems as a Component of the Hospital Communication Infrastructure

Shusaku Tsumoto, Takato Kudou, Eisuke Hanada, 2013, Journal of Medical Systems.

Sampling from databases for rule induction methods based on likelihood ratio test

Shusaku Tsumoto, Shoji Hirano, Hidenao Abe, 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).

Detection of research trends from bibliographical data

Shusaku Tsumoto, Hidenao Abe, 2012, Int. J. Data Min. Model. Manag..

Indiscernibility-Based Clustering: Rough Clustering

Shusaku Tsumoto, Shoji Hirano, 2003, IFSA.

Data Mining-Based Service Quality Estimation in Hospital Information System

Shusaku Tsumoto, Toshihiko Kawamura, Tomohiro Kimura, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Mining Hospital Management Data using R

Shusaku Tsumoto, Yuko Tsumoto, S. Tsumoto, 2006, Chance Discoveries in Real World Decision Making.

Clinical Schedule Management Using Similarity-Based Mining Methods

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2013, 2013 IEEE International Conference on Healthcare Informatics.

Chance Discoveries in Real World Decision Making

Shusaku Tsumoto, Yukio Ohsawa, S. Tsumoto, 2006 .

A Rough Set-Based Clustering Method with Modification of Equivalence Relations

Yutaka Hata, Shusaku Tsumoto, Shoji Hirano, 2001, PAKDD.

Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule Induction

Shusaku Tsumoto, S. Tsumoto, 2001, PKDD.

A speech synthesizing software on a PDA for Japanese with speech impairments

Shusaku Tsumoto, Yoshiaki Nose, Eisuke Hanada, 2002 .

A proposal of a privacy-preserving questionnaire by non-deterministic information and its analysis

Shusaku Tsumoto, Chenxi Liu, Hiroshi Sakai, 2016, 2016 IEEE International Conference on Big Data (Big Data).

The Change of the Structure of Patient Satisfaction by Waiting Time, Length of Stay and Hospital Rebuilding in Japan

Shusaku Tsumoto, Akira Yasuda, Masumi Okuda, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Granularity-based mining for construction of nursing care plan

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2013, 2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing.

Residual Analysis of Statistical Dependence in Multiway Contingency Tables

Shusaku Tsumoto, Shoji Hirano, 2010, RSKT.

Induction of Rule for Differential Diagnosis

Shusaku Tsumoto, Shoji Hirano, 2017, IJCRS.

Comparing Temporal Behavior of Phrases on Multiple Indexes with a Burst Word Detection Method

Shusaku Tsumoto, Hidenao Abe, 2009, RSFDGrC.

Internet-based decision support: towards e-hospital

Shusaku Tsumoto, Shoji Hirano, Eisuke Hanada, 2003, Proceedings 27th Annual International Computer Software and Applications Conference. COMPAC 2003.

Construction of linguistic variables from data and domain knowledge

Shusaku Tsumoto, Shoji Hirano, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Extracting diagnostic taxonomy using rough sets

Shusaku Tsumoto, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Dealing with multiple types of expert knowledge in medical image segmentation: a rough sets style approach

Shusaku Tsumoto, Shoji Hirano, Xiaoguang Sun, 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

COBRA: Integration of Heterogeneous Knowledge-Bases in Medical Domain

Hiroshi Tanaka, Shusaku Tsumoto, Hiromi Amano, 1995, Int. J. Cooperative Inf. Syst..

Dual Clustering for Clinical Care Construction

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2016, 2016 IEEE International Conference on Healthcare Informatics (ICHI).

Towards data: a human/machine-oriented approach of medical data collection

Hiroshi Nakajima, Shusaku Tsumoto, Takayuki Fujita, 2012, IHI '12.

Rule Evaluation Model as Behavioral Modeling of Domain Experts

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2009 .

Knowledge Discovery in Clinical Databases: An Experiment with Rule Induction and Statistics

Shusaku Tsumoto, 1999, ISMIS.

Medical knowledge discovery in hospital information systems

Shusaku Tsumoto, 2001, SPIE Defense + Commercial Sensing.

Statistical Independence as Linear Independence

Shusaku Tsumoto, 2003, Electron. Notes Theor. Comput. Sci..

Visualization of Similarities and Dissimilarities Between Rules Using Multidimensional Scaling

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2007, KES.

Visualization of Differences between Rules' Syntactic and Semantic Similarities using Multidimensional Scaling

Shusaku Tsumoto, Shoji Hirano, 2007, Fundam. Informaticae.

Information Refinement and Revision for Medical Expert System - Automated Extraction of Hierarchical Rules from Clinical Data -

Shusaku Tsumoto, 2002 .

Clustering of non-metric proximity data based on bi-links with ϵ-indiscernibility

Shusaku Tsumoto, Shoji Hirano, 2012, Journal of Intelligent Information Systems.

Multiscale Comparison of Temporal Patternsin Time-Series Medical Databases

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2002, PKDD.

Cluster analysis of treatment processes based on the typicalness measure for building clinical pathways

Shusaku Tsumoto, Shoji Hirano, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Rule and matroid theory

Shusaku Tsumoto, S. Tsumoto, 2002, Proceedings 26th Annual International Computer Software and Applications.

Multidimensional trajectory mining and its application to medicine

Shusaku Tsumoto, Shoji Hirano, 2009, 2009 ICME International Conference on Complex Medical Engineering.

A Clustering Method for Nominal and Numerical Data Based on Rough Set Theory

Yutaka Hata, Shusaku Tsumoto, Shoji Hirano, 2001, JSAI Workshops.

Communications and Discoveries from Multidisciplinary Data

Shusaku Tsumoto, Ning Zhong, Yukio Ohsawa, 2008, Communications and Discoveries from Multidisciplinary Data.

Mining Clinical Pathway Candidates from Order History Based on the Clustering of Order Sequences

Shusaku Tsumoto, Shoji Hirano, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Brain Informatics: International Conference, BI 2012, Macau, China, December 4-7, 2012, Proceedings

Shusaku Tsumoto, Yiyu Yao, Fabio Massimo Zanzotto, 2012 .

Rule Discovery in Large Time-Series Medical Databases

Shusaku Tsumoto, S. Tsumoto, 1999, PKDD.

Quantitative Estimation of Software Quality in Hospital Information System

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2016 .

Fuzziness from attribute generalization in information table

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2008, 2008 7th IEEE International Conference on Cognitive Informatics.

Estimation of Service Quality of a Hospital Information System Using a Service Log

Shusaku Tsumoto, Toshihiko Kawamura, Tomohiro Kimura, 2014, Rev. Socionetwork Strateg..

Statistical Independence as Linear Dependence in a Contingency Table

Shusaku Tsumoto, S. Tsumoto, 2006, Foundations and Novel Approaches in Data Mining.

Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence

Shusaku Tsumoto, Andrzej Skowron, Guoyin Wang, 2013, Rough Sets and Intelligent Systems.

Characteristics of Indiscernibility Degree in Rough Clustering Examined Using Perfect Initial Equivalence Relations

Shusaku Tsumoto, Shoji Hirano, 2006, ISMIS.

Lecture Notes in Artificial Intelligence: Preface

Shusaku Tsumoto, Masayuki Numao, Takahira Yamaguchi, 2005 .

Investigating Accuracies of Classifications for Randomized Imbalanced Class Distributions

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2009, Fundam. Informaticae.

Decomposition of pearson residuals of three-variables contingency cube

Shusaku Tsumoto, Shoji Hirano, 2008, 2008 IEEE International Conference on Granular Computing.

Cluster analysis of temporal trajectories of hospital laboratory examinations

Shusaku Tsumoto, Shoji Hirano, 2007, SPIE Defense + Commercial Sensing.

Multiscale Comparison and Clustering of Three-Dimensional Trajectories Based on Curvature Maxima

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2010, Int. J. Inf. Technol. Decis. Mak..

Detecting Temporal Patterns of Importance Indices about Technical Phrases

Shusaku Tsumoto, Hidenao Abe, 2009, KES.

Foundations of Data Mining and knowledge Discovery

Tsau Young Lin, Shusaku Tsumoto, Setsuo Ohsuga, 2005, Studies in Computational Intelligence.

Dependency and Granularity inData

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2009, Encyclopedia of Complexity and Systems Science.

Combinatorics of Information Granule in Contingency Table

Shusaku Tsumoto, Shoji Hirano, 2013, Int. J. Intell. Syst..

Distribution of Determinants of Contingency Matrix

Shusaku Tsumoto, Shoji Hirano, 2006, RSCTC.

COBRA: Integration of Knowledge-Bases with Case-Databases in the Domain of Congenital Malformation

Shusaku Tsumoto, Hiromi Amano, Takayuki Kuroda, 1995, AIME.

Induction of Expert System Rules from Clinical Databases Based on Rough Set Theory and Resampling Methods

Shusaku Tsumoto, Hiroshi Tanaka, 1995, AIME.

Evaluating a Temporal Pattern Detection Method for Finding Research Keys in Bibliographical Data

Shusaku Tsumoto, Hidenao Abe, 2011, Trans. Rough Sets.

Charcteristics of Pearson Residuals in a Contingency Matrix

Shusaku Tsumoto, Shoji Hirano, 2007, 6th IEEE International Conference on Cognitive Informatics.

Mining Diagnostic Taxonomy Using Interval-Based Similarity from Clinical Databases

Shusaku Tsumoto, 2004, MDAI.

Proceedings of the Third International Workshop on Active Mining (AM-2004)

Shusaku Tsumoto, Masayuki Numao, Takahira Yamaguchi, 2004 .

Foundations of Intelligent Systems

Shusaku Tsumoto, Ning Zhong, Einoshin Suzuki, 2003, Lecture Notes in Computer Science.

Mining Clinical Pathway Using Clustering and Rule Induction

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Dealing with granularity on non-euclidean relational data based on indiscernibility level

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Analysis of time-series medical databases using multiscale structure matching and rough sets-based clustering technique

Shusaku Tsumoto, Shoji Hirano, Xiaoguang Sun, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Evaluation of Learning Costs of Rule Evaluation Models Based on Objective Indices to Predict Human Hypothesis Construction Phases

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007 .

Frequent Temporal Pattern Mining for Medical Data Based on Ranged Relations

Shusaku Tsumoto, Shoji Hirano, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Construction of clinical pathway from histories of clinical actions in hospital information system

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Rough Sets and Current Trends in Computing

Shusaku Tsumoto, Roman Słowiński, Jan Komorowski, 2001, Lecture Notes in Computer Science.

Clustering-based analysis in hospital information systems

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2011, 2011 IEEE International Conference on Granular Computing.

Detection of trends of technical phrases in text mining

Shusaku Tsumoto, Hidenao Abe, 2009, 2009 IEEE International Conference on Granular Computing.

Mining Classification Rules for Detecting Medication Order Changes by Using Characteristic CPOE Subsequences

Shusaku Tsumoto, Hidenao Abe, 2011, ISMIS.

Mining Multi-level Diagnostic Process Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model

Shusaku Tsumoto, 2003, IFSA.

Statistical independence in three-variables contingency cube

Shusaku Tsumoto, Shoji Hirano, 2008, 2008 7th IEEE International Conference on Cognitive Informatics.

Empirical Comparison of Clustering Methods for Long Time-Series Databases

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2003, Active Mining.

Analyzing Behavior of Objective Rule Evaluation Indices Based on a Correlation Coefficient

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2008, KES.

A Comparative Study of Clustering Methods for Long Time-Series Medical Databases

Shusaku Tsumoto, Shoji Hirano, 2004, MDAI.

Attribute Generalization and Fuzziness in Data Mining Contexts

Shusaku Tsumoto, S. Tsumoto, 2009, RSFDGrC.

Automated rule induction with grouping target concepts

Shusaku Tsumoto, 2003, SPIE Defense + Commercial Sensing.

Mining Clinical Process in Order Histories Using Sequential Pattern Mining Approach

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2013, PAKDD Workshops.

Construction of Clinical Pathway Using Dual Clustering

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2015 .

Consultation System for Diagnosis of Headache and Facial Pain: "RHINOS"

Shusaku Tsumoto, Yasushi Matsumura, Yusuke Maeda, 1986, LP.

Detection of Risk Factors as Temporal Data Mining

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2009, PAKDD Workshops.

Comparison of similarity measures and clustering methods for time-series medical data mining

Shusaku Tsumoto, Shoji Hirano, 2003, SPIE Defense + Commercial Sensing.

Evaluation of a Classification Rule Mining Algorithm Based on Secondary Differences

Shusaku Tsumoto, Hidenao Abe, 2009, KES.

Temporal data mining for hospital management

Shusaku Tsumoto, Shoji Hirano, 2009, Defense + Commercial Sensing.

Proceedings of the 2009 international conference on Brain informatics

Shusaku Tsumoto, Fabio Massimo Zanzotto, Niels Taatgen, 2012 .

Incremental Induction of Medical Diagnostic Rules Based on Incremental Sampling Scheme and SubRule Layers

Shusaku Tsumoto, Shoji Hirano, 2013, Fundam. Informaticae.

Visualization of Similarities and Dissimilarities in Rules Using Multidimensional Scaling

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2005, ISMIS.

Hierarchical, Granular Representation of Non-metric Proximity Data

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2010, 2010 IEEE International Conference on Granular Computing.

Construction of Clinical Pathway based on Similarity-based Mining in Hospital Information System

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2014, ITQM.

Clustering of Trajectory Data obtained from Soccer Game Records – A First Step to Behavioral Modeling –

Shusaku Tsumoto, Shoji Hirano, 2008 .

A rough set perspective on knowledge discovery in information systems: an essay on the topic of the book

Tsau Young Lin, Shusaku Tsumoto, Lech Polkowski, 2000 .

Likelihood-Based Sampling from Databases for Rule Induction Methods

Shusaku Tsumoto, Shoji Hirano, Hidenao Abe, 2010, RSKT.

Trajectory Analysis of Laboratory Tests as Medical Complex Data Mining

Shusaku Tsumoto, Shoji Hirano, 2007, MCD.

Empirical Comparison of Distances for Agglomerative Hierarchical Clustering

Shusaku Tsumoto, Haruko Iwata, Tomohiro Kimura, 2018, IPMU.

Cluster Analysis of Trajectory Data on Hospital Laboratory Examinations

Shusaku Tsumoto, Shoji Hirano, 2007, AMIA.

Incremental rule induction based on updates of statistical indices

Shusaku Tsumoto, Shoji Hirano, 2014, 2014 IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing.

Visualization of similarities and dissimilarities in rules using MDS

Shusaku Tsumoto, 2006, SPIE Defense + Commercial Sensing.

Temporal Data Mining for Nursing Schedule Management

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2012, 2012 Third International Conference on Innovations in Bio-Inspired Computing and Applications.

Statistical Independence and Determinants in a Contingency Table - Interpretation of Pearson Residuals based on Linear Algebra -

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2009, Fundam. Informaticae.

Discovery of approximate concepts in clinical databases based on a rough set model

Shusaku Tsumoto, 2000, SPIE Defense + Commercial Sensing.

Web based medical decision support system: application of Internet to telemedicine

Shusaku Tsumoto, 2003, 2003 Symposium on Applications and the Internet Workshops, 2003. Proceedings..

Extraction of Structure of Medical Diagnosis from Clinical Data

Shusaku Tsumoto, 2004, Fundam. Informaticae.

Fuzzification of attribute-oriented generalization and its application to medicine

Shusaku Tsumoto, S. Tsumoto, 2000, SPIE Defense + Commercial Sensing.

Rough Sets and Medical Differential Diagnosis

Shusaku Tsumoto, 2013, Rough Sets and Intelligent Systems.

Chance Discoveries in Real World Decision Making: Data-based Interaction of Human Intelligence and Artificial Intelligence

Shusaku Tsumoto, Yukio Ohsawa, 2006, Studies in Computational Intelligence.

Risk Mining in Medicine: Application of Data Mining to Medical Risk Management

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2010, Fundam. Informaticae.

Visualization of Patient Distributions in a Hospital Based on the Clinical Actions Stored in EHR

Shusaku Tsumoto, Shoji Hirano, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Clustering Time-series Data Based on the Modified Multiscale Matching Technique (Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining) -- (Session 8: Medical Data Mining)

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2004 .

A Data Mining Approach on the Structure of Patient Satisfaction in HCAHPS Databases

Shusaku Tsumoto, Akira Yasuda, Masumi Okuda, 2016, 2016 IEEE International Conference on Healthcare Informatics (ICHI).

Automated extraction of hierarchical decision rules from clinical databases using rough set model

Shusaku Tsumoto, S. Tsumoto, 2003, Expert Syst. Appl..

Automated Acquisition of Rules from Clinical Databases and its Evaluation

Hiroshi Tanaka, Shusaku Tsumoto, 1998, MedInfo.

Special issue on challenges in knowledge discovery and data mining

Shusaku Tsumoto, 2013, Journal of Intelligent Information Systems.

An indiscernibility-based clustering method

Shusaku Tsumoto, Shoji Hirano, 2005, 2005 IEEE International Conference on Granular Computing.

Multivariate statistical independence and contingency tables

Shusaku Tsumoto, Shoji Hirano, Hidenao Abe, 2009, 2009 IEEE International Conference on Granular Computing.

Temporal data mining in history data of hospital information systems

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Information reuse in hospital information systems: A data mining approach

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2011, 2011 IEEE International Conference on Information Reuse & Integration.

Data mining based clinical care plan construction

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2013, 2013 International Joint Conference on Awareness Science and Technology & Ubi-Media Computing (iCAST 2013 & UMEDIA 2013).

Rough Set Data Analysis

Shusaku Tsumoto, S. Tsumoto, 2009, Encyclopedia of Complexity and Systems Science.

Implementing a Rule Generation Method Based on Secondary Differences of Two Criteria

Shusaku Tsumoto, Hidenao Abe, 2008, RSCTC.

Towards Data-Oriented Hospital Services: Data Mining in Hospital Management

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2011, 2011 Annual SRII Global Conference.

Rough Sets and Knowledge Technology, 4th International Conference, RSKT 2009, Gold Coast, Australia, July 14-16, 2009. Proceedings

Shusaku Tsumoto, Yiyu Yao, Guoyin Wang, 2009, RSKT.

Classification of temporal sequences using multiscale matching and rough clustering

Shusaku Tsumoto, Shoji Hirano, 2005, SPIE Defense + Commercial Sensing.

Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic

Shusaku Tsumoto, S. Tsumoto, 2000, Inf. Sci..

Evaluation of Incremental Change of Set-Based Indices

Shusaku Tsumoto, Shoji Hirano, 2013, RSKT.

Foundations of Data Mining and Knowledge Discovery (Studies in Computational Intelligence) (Studies in Computational Intelligence)

Tsau Young Lin, Shusaku Tsumoto, Setsuo Ohsuga, 2005 .

Active Mining Project: Overview

Shusaku Tsumoto, Masayuki Numao, Takahira Yamaguchi, 2003, Active Mining.

Rank and independence in contingency table

Shusaku Tsumoto, 2004, SPIE Defense + Commercial Sensing.

Statistical evidence for rough set analysis

Shusaku Tsumoto, S. Tsumoto, 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

Meaning of Marginal Distributions in a Contingency Table

Shusaku Tsumoto, Shoji Hirano, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Rule induction methods with hierachical sampling

Shusaku Tsumoto, S. Tsumoto, 2011, IEEE 10th International Conference on Cognitive Informatics and Cognitive Computing (ICCI-CC'11).

Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

A Comparison of Composed Objective Rule Evaluation Indices Using PCA and Single Indices

Shusaku Tsumoto, Hidenao Abe, 2009, RSKT.

Granularity and statistical independence in a contingency table

Shusaku Tsumoto, 2005, SPIE Defense + Commercial Sensing.

Automated Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Statistical Testing

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1995, KDD.

The First International Conference on Rough Sets and Current Trends in Computing(RSCTC'98)Warsaw, June 22-26, 1998

Shusaku Tsumoto, S. Tsumoto, 1999 .

Application of data mining to medical risk management

Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama, 2006, SPIE Defense + Commercial Sensing.

Risk Mining in Hospital Information Systems

Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Discovery of Clusters from Proximity Data: An Approach Using Iterative Adjustment of Binary Classifications

Shusaku Tsumoto, Shoji Hirano, 2008, Communications and Discoveries from Multidisciplinary Data.

Analysis of amino-acid sequences by statistical technique

Shusaku Tsumoto, Shoji Hirano, Akira Yasuda, 2002, Inf. Sci..

Knowledge Discovery in Medical Multi-databases: A Rough Set Approach

Shusaku Tsumoto, S. Tsumoto, 1999, PKDD.

Induction of Expert System Rules from Databases Based on Rough Set Theory and Resampling Methods

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1996, ISMIS.

Data Mining in Meningoencephalitis: The Starting Point of Discovery Challenge

Shusaku Tsumoto, Katsuhiko Takabayashi, S. Tsumoto, 2011, ISMIS.

Analysis of Relationship between Blood Stream Infection and Clinical Background in Patients' Lactobacillus Therapy by Data Mining

Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama, 2007, ICDM Workshops.

Construction of discharge summaries classifier

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2017, 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC).

Cognitive Computing: Methodologies for Neural Computing and Semantic Computing in Brain-Inspired Systems

Shusaku Tsumoto, Yingxu Wang, Fumio Mizoguchi, 2018, Int. J. Softw. Sci. Comput. Intell..

Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Testing

Shusaku Tsumoto, Shoji Hirano, Hidenao Abe, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Mining Temporal Patterns of Technical Term Usages in Bibliographical Data

Shusaku Tsumoto, Hidenao Abe, 2010, Intelligent Information Processing.

Discovery of Positive and Negative Knowledge in Medical Databases Using Rough Sets

Shusaku Tsumoto, S. Tsumoto, 2002, Progress in Discovery Science.

Formalization of Medical Diagnostic Rules

Shusaku Tsumoto, Shoji Hirano, 2015, RSFDGrC.

Dependency and Granularity in DataData mining granularity -MiningData mining dependency

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2012 .

Temporal knowledge discovery in diabetus mellitus and collagen diseases

Shusaku Tsumoto, 1998, SIGB.

Temporal data mining of order entry histories for characterization of medical practice

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2012, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS).

Shusaku Tsumoto, Hidenao Abe, S. Tsumoto, 2012, ICCI*CC.

Factors of Patient Satisfaction Based on Distant Analysis in HCAHPS Databases

Shusaku Tsumoto, Akira Yasuda, Masumi Okuda, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Trajectory mining using multiscale matching and clustering

Shusaku Tsumoto, Shoji Hirano, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Mining nursing care plan from data extracted from hospital information system

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).

Medical (Thrombosis) Data Description

Shusaku Tsumoto, Jan M. Zytkow, 2000 .

From Hospital Big Data to Clinical Process: A Granular Computing Approach

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Support Vector Machines for Knowledge Discovery

Shusaku Tsumoto, Einoshin Suzuki, Shinsuke Sugaya, 1999, PKDD.

Incremental induction of medical diagnostic rules

Shusaku Tsumoto, Shoji Hirano, 2013, 2013 IEEE International Conference on Granular Computing (GrC).

Visualizing dynamics of patients in hospitals using devise locations

Shusaku Tsumoto, Shoji Hirano, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Clinical Pathway Generation from Hospital Information System

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2018, ITQM.

Characteristics of Accuracy and Coverage in Rule Induction

Shusaku Tsumoto, 2003, RSFDGrC.

An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -Rough Clustering-

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2003, Journal of Advanced Computational Intelligence and Intelligent Informatics.

Algebraic analysis of statistical dependence

Shusaku Tsumoto, Shoji Hirano, 2013, 2013 IEEE International Conference on Granular Computing (GrC).

Indiscernibility degree of objects for evaluating simplicity of knowledge in the clustering procedure

Shusaku Tsumoto, Shoji Hirano, 2001, Proceedings 2001 IEEE International Conference on Data Mining.

A knowledge-oriented clustering technique based on rough sets

Shusaku Tsumoto, Shoji Hirano, S. Tsumoto, 2001, 25th Annual International Computer Software and Applications Conference. COMPSAC 2001.

Grouping of soccer game records by multiscale comparison technique and rough clustering

Shusaku Tsumoto, Shoji Hirano, 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

Welcome from the Conference Chairs and Program Chairs

Philip S. Yu, Shusaku Tsumoto, Vipin Kumar, 2002 .

Mining Clinical Pathways Using Dual Clustering

Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, 2021, The Review of Socionetwork Strategies.

Mining Clinical Process from Hospital Information System: A Granular Computing Approach

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2021, Fundam. Informaticae.

Comparison of Clustering Strategies using a Partition Tree

Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, 2021, 2021 IEEE International Conference on Imaging Systems and Techniques (IST).

Empirical Rule Induction Methods Selection

Shusaku Tsumoto, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Mining in Discharge Summaries

Shusaku Tsumoto, Shoji Hirano, Tomohiro Kimura, 2021, Advances in Intelligent Systems and Computing.

Determination of Disease from Discharge Summaries

Shusaku Tsumoto, Shoji Hirano, Tomohirno Kimura, 2021, Rev. Socionetwork Strateg..

Characterization of Relevance and Irrelevance in Empirical Learning Methods based on Rough Sets and Matroid Theory

Hiroshi Tanaka, Shusaku Tsumoto, S. Tsumoto, 1994 .

Main tenance of Domain Knowledge for Nursing Care using Data in Hospital Information System

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2012 .

Behavior Grouping based on Trajectory Mining

Shusaku Tsumoto, Shoji Hirano, 2009 .

Temporal Data Mining in Hospital Information Systems: Analysis of Clinical Courses of Chronic Hepatitis

Shusaku Tsumoto, Shoji Hirano, 2007 .

Healthy diet assessment mechanism based on fuzzy markup language for Japanese food

Shusaku Tsumoto, Hiroshi Tsuji, Kanta Kurozumi, 2016, Soft Comput..

Discovery of approximate knowledge in medical databases based on rough set model

Shusaku Tsumoto, S. Tsumoto, 2002 .

Meaning of Pearson Residuals Linear Algebra View

Shusaku Tsumoto, Shoji Hirano, 2007 .

Towards data-oriented hospital services: Data mining in hospital information systems

Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto, 2011, The 2011 IEEE/ICME International Conference on Complex Medical Engineering.

Maintenance of Domain Knowledge for Nursing Care using Data in Hospital Information System

Shusaku Tsumoto, Shoji Hirano, Haruko Iwata, 2012 .