H. Sakai

H. Sakai, M. Nakata, Norio Saito, 2022, 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS).

An Apriori-based Data Analysis on Suspicious Network Event Recognition

Junzo Watada, Hiroshi Sakai, Arunava Roy, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Rough set-based rule generation and Apriori-based rule generation from table data sets II: SQL-based environment for rule generation and decision support

Hiroshi Sakai, Zhiwen Jian, H. Sakai, 2019, CAAI Trans. Intell. Technol..

A Model of Rule Generation Handling Granules Defined by Implications in Table Data Sets

Junzo Watada, Hiroshi Sakai, Michinori Nakata, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

On Two Apriori-Based Rule Generators: Apriori in Prolog and Apriori in SQL

Kao-Yi Shen, Hiroshi Sakai, Michinori Nakata, 2018, J. Adv. Comput. Intell. Intell. Informatics.

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).

Rough Approximations from Indiscernibility Relations under Incomplete Information

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2016, 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS).

Families of the Granules for Association Rules and Their Properties

Chenxi Liu, Hiroshi Sakai, Michinori Nakata, 2015, RSKT.

A Consideration on Learning by Rule Generation from Tables with Missing Values

Chenxi Liu, Hiroshi Sakai, H. Sakai, 2015, 2015 IIAI 4th International Congress on Advanced Applied Informatics.

Granules for association rules and decision support in the getRNIA system

Hiroshi Sakai, Michinori Nakata, Mao Wu, 2015, Intell. Decis. Technol..

On Parallelization of the NIS-apriori Algorithm for Data Mining

Hiroshi Sakai, Mao Wu, H. Sakai, 2015, KES.

Reconsideration of rules in tables with non-deterministic data

Chenxi Liu, Hiroshi Sakai, Michinori Nakata, 2014, 2014 IEEE International Conference on Granular Computing (GrC).

Rule induction based on rough sets from possibilistic information under Lipski's approach

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2014, 2014 IEEE International Conference on Granular Computing (GrC).

Toward the enhancement of the getRNIA system for rough-set based data analysis

Chenxi Liu, Hiroshi Sakai, Mao Wu, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

On the Definability of a Set and Rough Set-Based Rule Generation

Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, 2014, 2014 IIAI 3rd International Conference on Advanced Applied Informatics.

The Completeness of NIS-Apriori Algorithm and a Software Tool GetRNIA

Hiroshi Sakai, Mao Wu, H. Sakai, 2014, 2014 IIAI 3rd International Conference on Advanced Applied Informatics.

An Approach Based on Rough Sets to Possibilistic Information

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2014, IPMU.

Rule induction based on rough sets from information tables containing possibilistic information

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

Twofold rough approximations under incomplete information

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2013, Int. J. Gen. Syst..

Rough Non-Deterministic Information Analysis and Its Software Tool : An Overview

Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, 2013 .

Properties on inclusion relations and division charts in non-deterministic information systems

Dominik Slezak, Hiroshi Sakai, Michinori Nakata, 2011, 2011 IEEE International Conference on Granular Computing.

Stable rule extraction and decision making in rough non-deterministic information analysis

Dominik Slezak, Hiroshi Sakai, Michinori Nakata, 2011, Int. J. Hybrid Intell. Syst..

An overview of decision making in Rough Non-deterministic Information Analysis

Dominik Slezak, Hiroshi Sakai, Michinori Nakata, 2010, 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC).

Two Rough Approximations for Information Tables Containing Missing Values

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2010, 2010 IEEE International Conference on Granular Computing.

Applying Rough Sets to Information Tables Containing Missing Values

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2009, 2009 39th International Symposium on Multiple-Valued Logic.

Rough sets approximations in data tables containing missing values

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

On a Rough Sets Based Tool for Generating Rules from Data with Categorical and Numerical Values

Hiroshi Sakai, Ryuji Ishibashi, Michinori Nakata, 2007, MDAI.

Handling Missing Values in terms of Rough Sets

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2007 .

Rough Sets Approximations to Possibilistic Information

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Rough Sets Handling Missing Values Probabilistically Interpreted

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2005, RSFDGrC.

The Lattice Structure of Coverings in an Incomplete Information Table with Value Similarity

H. Sakai, M. Nakata, Norio Saito, 2022, International Symposium on Integrated Uncertainty in Knowledge Modelling.

Division charts and their merging algorithm in Rough Non-deterministic information analysis

Hiroshi Sakai, Michinori Nakata, Mao Wu, 2012, 2012 IEEE International Conference on Granular Computing.

A MATHEMATICAL EXTENSION OF ROUGH SET-BASED ISSUES TOWARD UNCERTAIN INFORMATION ANALYSIS

Kohei Hayashi, Michinori Nakata, Hiroshi Sakai, 2011 .

Rules and Apriori Algorithm in Non-deterministic Information Systems

Hiroshi Sakai, Ryuji Ishibashi, Michinori Nakata, 2006, Trans. Rough Sets.

On a Rough Sets Based Data Mining Tool in Prolog: An Overview

Hiroshi Sakai, H. Sakai, 2005, INAP.

On a Tool for Rough Non-deterministic Information Analysis and Its Perspective for Handling Numerical Data

Tetsuya Murai, Hiroshi Sakai, Michinori Nakata, 2005, MDAI.

ON A METHOD TO EXTRACT RULES FROM A TABLE WITH NON-DETERMINISTIC INFORMATION: A ROUGH SETS BASED APPROACH

Hiroshi Sakai, H. Sakai, 2002 .

Two Rough Set-based Software Tools for Analyzing Non-Deterministic Data

Hiroshi Sakai, Michinori Nakata, Mao Wu, 2014, Int. J. Rough Sets Data Anal..

Rough Non-deterministic Information Analysis: Foundations and Its Perspective in Machine Learning

Michinori Nakata, Hiroshi Sakai, Hitomi Okuma, 2013 .

A Descriptor-Based Division Chart Table in Rough Non-deterministic Information Analysis

Michinori Nakata, Hiroshi Sakai, Mao Wu, 2012 .

Possible Equivalence Relations and Their Application to Hypothesis Generation in Non-deterministic Information Systems

Hiroshi Sakai, H. Sakai, 2004, Trans. Rough Sets.

Basic Algorithms and Tools for Rough Non-deterministic Information Analysis

Hiroshi Sakai, Akimichi Okuma, H. Sakai, 2004, Trans. Rough Sets.

On a Theorem Prover for Variational Logic Programs with Functors Setu and Sets

Hiroshi Sakai, Akimichi Okuma, H. Sakai, 2000, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

A hardware pipeline algorithm for relational database operation

Hiroshi Sakai, Shigeo Kamiya, Kazuhide Iwata, 1985, ISCA '85.

Development of Delta as a First Step to a Knowledge Base Machine

Hidenori Itoh, Kazuhide Iwata, Shigeki Shibayama, 1986 .

Apriori-Based Rule Generation in Incomplete Information Databases and Non-Deterministic Information Systems

Hiroshi Sakai, Michinori Nakata, Mao Wu, 2014, Fundam. Informaticae.

Advanced Machine Learning Technologies and Applications

Michinori Nakata, Hiroshi Sakai, Mao Wu, 2012, Communications in Computer and Information Science.

Multi-graded Hybrid MRDM Model for Assisting Financial Performance Evaluation Decisions: A Preliminary Work

Gwo-Hshiung Tzeng, Kao-Yi Shen, Hiroshi Sakai, 2019, IJCRS.

Comparing Two Novel Hybrid MRDM Approaches to Consumer Credit Scoring Under Uncertainty and Fuzzy Judgments

Gwo-Hshiung Tzeng, Kao-Yi Shen, Hiroshi Sakai, 2018, International Journal of Fuzzy Systems.

Rough-set-based approaches to data containing incomplete information: possibility-based cases

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2005, LAPTEC.

Rough Set-Based Information Dilution by Non-deterministic Information

Hiroshi Sakai, Michinori Nakata, Mao Wu, 2013, RSFDGrC.

An Overview of a Software Tool in Rough Non-deterministic Information Analysis

Hiroshi Sakai, Hiroshi Kimura, Michinori Nakata, 2009, 2009 39th International Symposium on Multiple-Valued Logic.

Division Charts as Granules and Their Merging Algorithm for Rule Generation in Nondeterministic Data

Hiroshi Sakai, Michinori Nakata, Mao Wu, 2013, Int. J. Intell. Syst..

An Adjusted Apriori Algorithm to Itemsets Defined by Tables and an Improved Rule Generator with Three-Way Decisions

Kao-Yi Shen, Hiroshi Sakai, Zhiwen Jian, 2020, IJCRS.

Automatic Extraction of Decision Rules from Non-deterministic Data Systems: Theoretical Foundations and SQL-Based Implementation

Dominik Slezak, Hiroshi Sakai, D. Ślęzak, 2009, FGIT-DTA.

Rough Sets by Indiscernibility Relations in Data Sets Containing Possibilistic Information

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2016, IJCRS.

Lower and Upper Approximations in Data Tables Containing Possibilistic Information

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2007, Trans. Rough Sets.

Association rule-based decision making in table data

Hiroshi Sakai, Michinori Nakata, Mao Wu, 2012, Int. J. Reason. based Intell. Syst..

Toward association rules based decision making in Lipski's Incomplete Information Databases

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2011, 2011 IEEE International Conference on Granular Computing.

Rule Generation from Several Types of Table Data Sets and Its Application: Decision-Making with Transparency and an Improved Execution Environment

H. Sakai, Zhiwen Jian, 2023, International journal of service and knowledge management.

On Apriori-Based Rule Generation and the Explainable Reasoning Functionality for Decision

Zhiwen JIAN, Hiroshi SAKAI, H. Sakai, 2021 .

Rough Sets Non-Deterministic Information Analysis and a NIS-Apriori System – A Rule Generation System Based on Possible World Semantics –

Junzo Watada, Michinori Nakata, Hiroshi Sakai, 2020 .

Rough Sets under Non-deterministic Information

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2009, RSKT.

Applying Rough Sets to Information Tables Containing Probabilistic Values

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2007, MDAI.

Applying Rough Sets to Data Tables Containing Missing Values

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2007, RSEISP.

Applying Rough Sets to Information Tables Containing Possibilistic Values

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2008, Trans. Comput. Sci..

Rough Sets in Incomplete Information Systems with Order Relations Under Lipski's Approach

Hiroshi Sakai, Michinori Nakata, Keitarou Hara, 2017, IJCRS.

Applying Rough Sets to Data Tables Containing Imprecise Information Under Probabilistic Interpretation

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2006, RSCTC.

Applying Rough Sets to Data Tables Containing Possibilistic Information

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2006, RSKT.

Checking Whether or Not Rough-Set-Based Methods to Incomplete Data Satisfy a Correctness Criterion

Hiroshi Sakai, Michinori Nakata, H. Sakai, 2005, MDAI.