Hidenao Abe

发表

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

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

Development of Total Environment for Text Data Mining

Yasufumi Takama, Yoko Nishihara, Wataru Sunayama, 2013 .

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.

Developing a Rule Evaluation Support Method Based on Objective Indices

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

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).

Developing a Classroom Robot Service by Construncting Hierarchical Multi-Modal Rule Base

Hidenao Abe, Kouya Takahashi, Momoko Akimoto, 2020 .

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

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

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

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).

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.

Numerical Time-Series Pattern Extraction Based on Irregular Piecewise Aggregate Approximation and Gradient Specification

Takahira Yamaguchi, Miho Ohsaki, Hidenao Abe, 2007, New Generation Computing.

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.

A method to characterize dataset based on objective rule evaluation indices

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

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

Shusaku Tsumoto, Hidenao Abe, 2009, ISMIS.

A Methodology for Data Pre-processing Based on Feature Selection

Hidenao Abe, Mao Komori, Hiromitsu Hatazawa, 2001 .

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.

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).

Evaluation of rule interestingness measures in medical knowledge discovery in databases

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

Part VI-Risk Management Systems with Intelligent Data Analysis-Implementing an Integrated Time-Series Data Mining Environment Based on Temporal Pattern Extraction Methods: A Case Study of an

Takahira Yamaguchi, Miho Ohsaki, Hidenao Abe, 2006 .

A Constructive Meta-Level Feature Selection Method based on Method Repositories

Takahira Yamaguchi, Hidenao Abe, Takahira Yamaguchi, 2006, J. Comput..

Identifying behaviour objective from traffic behaviour log data by using facility ontology

Takahira Yamaguchi, Shuichi Matsumoto, Takeshi Morita, 2016, Int. J. Knowl. Eng. Soft Data Paradigms.

Analyzing Correlation Coefficients of Objective Rule Evaluation Indices on Classification Rules

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

Improving a rule evaluation support method based on objective indices

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

Constructive Meta-learning with Machine Learning Method Repositories

Takahira Yamaguchi, Hidenao Abe, Takahira Yamaguchi, 2004, International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems.

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

Shusaku Tsumoto, Hidenao Abe, 2013 .

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.

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

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

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.

Developing Transferable Clickstream Analytic Models Using Sequential Pattern Evaluation Indices

Hidenao Abe, 2013, AMT.

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.

Constructing Inductive Applications by Meta-Learning with Method Repositories

Takahira Yamaguchi, Hidenao Abe, Takahira Yamaguchi, 2002, Progress in Discovery Science.

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 .

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

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

Text Categorization with Considering Temporal Patterns of Term Usages

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

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).

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

Shusaku Tsumoto, Takahira Yamaguchi, Miho Ohsaki, 2007 .

Identifying Types of Staying Facilities from Traffic Behavior Log Data

Takahira Yamaguchi, Shuichi Matsumoto, Takeshi Morita, 2014, KES.

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

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

Finding Functional Groups of Objective Rule Evaluation Indices Using PCA

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

Analyzing User Behaviors Based on Temporal Patterns of Sequential Pattern Evaluation Indices on Twitter

Hidenao Abe, H. Abe, 2015, PAKDD Workshops.

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).

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

Shusaku Tsumoto, Hidenao Abe, 2011, RSKT.

Implementing an Integrated Time-Series Data Mining Environment Based on Temporal Pattern Extraction Methods: A Case Study of an Interferon Therapy Risk Mining for Chronic Hepatitis

Takahira Yamaguchi, Miho Ohsaki, Hidenao Abe, 2006, JSAI Workshops.

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.

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

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

A Methodology for Feature Selection Based on Dynamic Incremental Extension of Seed Features

Takahira Yamaguchi, Hidenao Abe, Mao Komori, 2002 .

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.

Trend detection from large text data

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

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

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..

Constructive Meta-level Feature Selection Method Based on Method Repositories

Takahira Yamaguchi, Hidenao Abe, Takahira Yamaguchi, 2006, PAKDD.

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

Shusaku Tsumoto, Hidenao Abe, 2009, RSFDGrC.

Rule Evaluation Model as Behavioral Modeling of Domain Experts

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

Development of a Classification Rule Mining Framework by Using Temporal Pattern Extraction

Hidenao Abe, H. Abe, 2011 .

Investigating Accuracies of Classifications for Randomized Imbalanced Class Distributions

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

Detecting Temporal Patterns of Importance Indices about Technical Phrases

Shusaku Tsumoto, Hidenao Abe, 2009, KES.

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

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

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 .

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.

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

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

Mining Clinical Process in Order Histories Using Sequential Pattern Mining Approach

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

Evaluation of a Classification Rule Mining Algorithm Based on Secondary Differences

Shusaku Tsumoto, Hidenao Abe, 2009, KES.

Likelihood-Based Sampling from Databases for Rule Induction Methods

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

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.

Development and Evaluation of an Integrated Time-Series KDD Environment--A Case Study of Medical KDD on Hepatitis (Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining) -- (Session 8: Medical Data Mining)

Miho Ohsaki, Hidenao Abe, Shinya Kitaguchi, 2004 .

Analysis for Finding Innovative Concepts Based on Temporal Patterns of Terms in Documents

Hidenao Abe, 2012 .

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

Shusaku Tsumoto, Hidenao Abe, 2008, RSCTC.

Constructive meta-learning with machine learning method repositories

Takahira Yamaguchi, Hidenao Abe, 2004 .

Extracting user behavior-related words and phrases using temporal patterns of sequential pattern evaluation indices

Hidenao Abe, 2016, Vietnam Journal of Computer Science.

Data Mining Tool:Weka

Hidenao Abe, 2011 .

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.

Developing an Integrated Time-Series Data Mining Environment for Medical Data Mining

Takahira Yamaguchi, Miho Ohsaki, Hidenao Abe, 2007 .

Knowledge Discovery Support from a Meningoencephalitis Dataset Using an Automatic Composition Tool for Inductive Applications

Takahira Yamaguchi, Hidenao Abe, Mao Komori, 2001, JSAI Workshops.

Evaluating a learning algorithm selection method for a rule evaluation support tool based on objective indices

Takahira Yamaguchi, Hidenao Abe, Shusaku Tsumoto, 2020 .

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.

Evaluating Accuracies of a Trading Rule Mining Method Based on Temporal Pattern Extraction

Takahira Yamaguchi, Miho Ohsaki, Hidenao Abe, 2007, MCD.

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

Parallel model refinement of inductive applications using method repository

Takahira Yamaguchi, Hidenao Abe, Takahira Yamaguchi, 2002 .

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).

Developing an Integrated Time-Series Data Mining Environment for Medical Data Mining

Takahira Yamaguchi, Miho Ohsaki, Hidenao Abe, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Evaluating an Integrated Time-Series Data Mining Environment-A Case Study on a Chronic Hepatitis Data Mining -

Takahira Yamaguchi, Miho Ohsaki, Hidenao Abe, 2005 .

Development and Evaluation of an Integrated Time-Series KDD Environment : A Case Study of Medical KDD on Hepatitis(Medical Data Mining)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)

Takahira Yamaguchi, Miho Ohsaki, Hidenao Abe, 2004 .