Michinori Nakata

109 papers B 12C 1Misc 6Journal 23Unranked 66
YearRankTypeTitle / Venue / Authors
2025 — conf
Rough Sets Consisting of Valued Objects in Data Tables with Missing Values.
IUKM (2)
Michinori Nakata, Hiroshi Sakai, Takeshi Fujiwara
2025 J jnl
Rule generation in Rough set Non-deterministic Information Analysis (RNIA) and some applications of the obtained rules.
Appl. Soft Comput.
Hiroshi Sakai, Michinori Nakata, Dominik Slezak, Junzo Watada
2024 — conf
A Proposal of the Sub-attributes Based β-Dependency in Rough Sets and Its Calculation.
IJCRS (1)
Hiroshi Sakai, Michinori Nakata
2024 — conf
Consideration of Detecting Data and Functional Dependency in Tabular Data with Missing Values by the Obtained Rules.
IJCRS (1)
Hiroshi Sakai, Michinori Nakata, Dominik Slezak, Junzo Watada
2024 — conf
Dealing with Missing Values Meaning Unknown in Probabilistic Approximations.
IJCRS (1)
Michinori Nakata, Hiroshi Sakai, Takeshi Fujiwara
2023 — conf
Descriptor-Based Information Systems and Rule Learning from Different Types of Data Sets with Uncertainty.
IUKM (2)
Hiroshi Sakai, Michinori Nakata
2023 — conf
Extending Kryszkiewicz's Formula of Missing Values in Terms of Lipski's Approach.
IUKM (2)
Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara
2023 — conf
Kryszkiewicz's Relation for Indiscernibility of Objects in Data Tables Containing Missing Values.
IJCRS
Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara
2022 — conf
Apriori-based Rule Generation with Three-way Decisions for Heterogeneous and Uncertain Data.
SCIS/ISIS
Hiroshi Sakai, Michinori Nakata
2022 J jnl
Rough Sets and Rule Induction by an Approach Based on Coverings in Information Tables.
J. Multiple Valued Log. Soft Comput.
Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara
2022 — conf
Structures Derived from Possible Tables in an Incomplete Information Table.
SCIS/ISIS
Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara
2022 — conf
The Lattice Structure of Coverings in an Incomplete Information Table with Value Similarity.
IUKM
Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara
2021 — conf
Possible Coverings in Incomplete Information Tables with Similarity of Values.
IJCRS
Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara
2020 — conf
An Adjusted Apriori Algorithm to Itemsets Defined by Tables and an Improved Rule Generator with Three-Way Decisions.
IJCRS
Zhiwen Jian, Hiroshi Sakai, Takuya Ohwa, Kao-Yi Shen, Michinori Nakata
2020 J jnl
NIS-Apriori-based rule generation with three-way decisions and its application system in SQL.
Inf. Sci.
Hiroshi Sakai, Michinori Nakata, Junzo Watada
2020 — ed.
Rough Sets - International Joint Conference, IJCRS 2020, Havana, Cuba, June 29 - July 3, 2020, Proceedings
IJCRS
Rafael Bello, Duoqian Miao, Rafael Falcon, Michinori Nakata, Alejandro Rosete, Davide Ciucci
2019 J jnl
Guest Editorial: Rough Sets and Data Mining.
CAAI Trans. Intell. Technol.
Hiroshi Sakai, Michinori Nakata, Wei-Zhi Wu, Duoqian Miao, Guoyin Wang
2019 — conf
NIS-Apriori Algorithm with a Target Descriptor for Handling Rules Supported by Minor Instances.
IUKM
Hiroshi Sakai, Kao-Yi Shen, Michinori Nakata
2019 — conf
Rough Sets Based on Possible Indiscernibility Relations in Incomplete Information Tables with Continuous Values.
IJCRS
Michinori Nakata, Hiroshi Sakai, Keitarou Hara
2019 — conf
Rough Sets Based on Possibly Indiscernible Classes in Incomplete Information Tables with Continuous Values.
AISI
Michinori Nakata, Hiroshi Sakai, Keitarou Hara
2019 J jnl
Rough set-based rule generation and Apriori-based rule generation from table data sets: a survey and a combination.
CAAI Trans. Intell. Technol.
Hiroshi Sakai, Michinori Nakata
2019 — conf
Rule Induction Based on Rough Sets from Possibilistic Data Tables.
IUKM
Michinori Nakata, Hiroshi Sakai
2019 J jnl
Rule induction based on rough sets from information tables having continuous domains.
CAAI Trans. Intell. Technol.
Michinori Nakata, Hiroshi Sakai, Keitarou Hara
2018 — conf
A Model of Rule Generation Handling Granules Defined by Implications in Table Data Sets.
ICDM Workshops
Hiroshi Sakai, Michinori Nakata, Junzo Watada
2018 J jnl
On Two Apriori-Based Rule Generators: Apriori in Prolog and Apriori in SQL.
J. Adv. Comput. Intell. Intell. Informatics
Hiroshi Sakai, Kao-Yi Shen, Michinori Nakata
2018 — conf
Rule Induction Based on Indiscernible Classes from Rough Sets in Information Tables with Continuous Values.
IJCSR
Michinori Nakata, Hiroshi Sakai, Keitarou Hara
2018 — conf
Rules Induced from Rough Sets in Information Tables with Continuous Values.
IPMU (2)
Michinori Nakata, Hiroshi Sakai, Keitarou Hara
2017 — conf
A Proposal of Machine Learning by Rule Generation from Tables with Non-deterministic Information and Its Prototype System.
IJCRS (1)
Hiroshi Sakai, Michinori Nakata, Junzo Watada
2017 — conf
Rough Sets in Incomplete Information Systems with Order Relations Under Lipski's Approach.
IJCRS (1)
Michinori Nakata, Hiroshi Sakai, Keitarou Hara
2016 — conf
A proposal of a privacy-preserving questionnaire by non-deterministic information and its analysis.
IEEE BigData
Shusaku Tsumoto, Michinori Nakata, Hiroshi Sakai, Chenxi Liu
2016 — conf
Describing Rough Approximations by Indiscernibility Relations in Information Tables with Incomplete Information.
IPMU (2)
Michinori Nakata, Hiroshi Sakai
2016 — conf
Information Dilution: Granule-Based Information Hiding in Table Data - A Case of Lenses Data Set in UCI Machine Learning Repository.
CMCSN
Hiroshi Sakai, Chenxi Liu, Michinori Nakata
2016 — conf
On Apriori-Based Rule Generation in SQL - A Case of the Deterministic Information System.
SCIS&ISIS
Chenxi Liu, Hiroshi Sakai, Xiaoxin Zhu, Michinori Nakata
2016 — conf
On NIS-Apriori Based Data Mining in SQL.
IJCRS
Hiroshi Sakai, Chenxi Liu, Xiaoxin Zhu, Michinori Nakata
2016 — conf
Rough Approximations from Indiscernibility Relations under Incomplete Information.
SCIS&ISIS
Michinori Nakata, Hiroshi Sakai
2016 — conf
Rough Sets by Indiscernibility Relations in Data Sets Containing Possibilistic Information.
IJCRS
Michinori Nakata, Hiroshi Sakai
2015 — conf
Families of the Granules for Association Rules and Their Properties.
RSKT
Hiroshi Sakai, Chenxi Liu, Michinori Nakata
2015 J jnl
Granules for association rules and decision support in the getRNIA system.
Intell. Decis. Technol.
Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Michinori Nakata
2014 — conf
An Approach Based on Rough Sets to Possibilistic Information.
IPMU (3)
Michinori Nakata, Hiroshi Sakai
2014 J jnl
Application of Rough Set-Based Information Analysis to Questionnaire Data.
J. Adv. Comput. Intell. Intell. Informatics
Naoto Yamaguchi, Mao Wu, Michinori Nakata, Hiroshi Sakai
2014 J jnl
Apriori-Based Rule Generation in Incomplete Information Databases and Non-Deterministic Information Systems.
Fundam. Informaticae
Hiroshi Sakai, Mao Wu, Michinori Nakata
2014 Misc conf
Reconsideration of rules in tables with non-deterministic data.
GrC
Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Chenxi Liu, Michinori Nakata
2014 Misc conf
Rule induction based on rough sets from possibilistic information under Lipski's approach.
GrC
Michinori Nakata, Hiroshi Sakai
2014 J jnl
Two Rough Set-based Software Tools for Analyzing Non-Deterministic Data.
Int. J. Rough Sets Data Anal.
Mao Wu, Michinori Nakata, Hiroshi Sakai
2013 B conf
An Overview of the getRNIA System for Non-deterministic Data.
KES
Mao Wu, Michinori Nakata, Hiroshi Sakai
2013 J jnl
Division Charts as Granules and Their Merging Algorithm for Rule Generation in Nondeterministic Data.
Int. J. Intell. Syst.
Hiroshi Sakai, Mao Wu, Michinori Nakata
2013 — conf
Non-deterministic Information in Rough Sets: A Survey and Perspective.
RSKT
Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Michinori Nakata
2013 — conf
Rough Set-Based Information Dilution by Non-deterministic Information.
RSFDGrC
Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Michinori Nakata
2013 — conf
Rule induction based on rough sets from information tables containing possibilistic information.
IFSA/NAFIPS
Michinori Nakata, Hiroshi Sakai
2013 J jnl
Twofold rough approximations under incomplete information.
Int. J. Gen. Syst.
Michinori Nakata, Hiroshi Sakai
2012 J jnl
Association rule-based decision making in table data.
Int. J. Reason. based Intell. Syst.
Hiroshi Sakai, Mao Wu, Michinori Nakata
2012 Misc conf
Division charts and their merging algorithm in Rough Non-deterministic information analysis.
GrC
Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Michinori Nakata
2012 — conf
Learning a Table from a Table with Non-deterministic Information: A Perspective.
AMLTA
Mao Wu, Naoto Yamaguchi, Michinori Nakata, Hiroshi Sakai
2012 — conf
Management of Information Incompleteness in Rough Non-deterministic Information Analysis.
IPMU (1)
Hiroshi Sakai, Michinori Nakata, Dominik Slezak
2012 — conf
Rough Sets-Based Machine Learning over Non-deterministic Data: A Brief Survey.
AMLTA
Hiroshi Sakai, Mao Wu, Michinori Nakata, Dominik Slezak
2011 — conf
A NIS-Apriori Based Rule Generator in Prolog and Its Functionality for Table Data.
RSKT
Hiroshi Sakai, Michinori Nakata, Dominik Slezak
2011 — conf
A Prototype System for Rule Generation in Lipski's Incomplete Information Databases.
RSFDGrC
Hiroshi Sakai, Michinori Nakata, Dominik Slezak
2011 — conf
Dual Rough Approximations in Information Tables with Missing Values.
RSFDGrC
Michinori Nakata, Hiroshi Sakai
2011 Misc conf
Properties on inclusion relations and division charts in non-deterministic information systems.
GrC
Hitomi Okuma, Michinori Nakata, Dominik Slezak, Hiroshi Sakai
2011 J jnl
Stable rule extraction and decision making in rough non-deterministic information analysis.
Int. J. Hybrid Intell. Syst.
Hiroshi Sakai, Hitomi Okuma, Michinori Nakata, Dominik Slezak
2011 Misc conf
Toward association rules based decision making in Lipski's Incomplete Information Databases.
GrC
Hiroshi Sakai, Michinori Nakata
2010 — conf
An overview of decision making in Rough Non-deterministic Information Analysis.
NaBIC
Hitomi Okuma, Michinori Nakata, Dominik Slezak, Hiroshi Sakai
2010 — conf
Rule Generation in Lipski's Incomplete Information Databases.
RSCTC
Hiroshi Sakai, Michinori Nakata, Dominik Slezak
2010 — conf
The Lower and the Upper Systems of Rules in Tables with Missing Values.
FGIT-DTA/BSBT
Hiroshi Sakai, Michinori Nakata, Dominik Slezak
2010 — conf
Toward Rough Sets Based Rule Generation from Tables with Uncertain Numerical Values.
IUM
Hiroshi Sakai, Michinori Nakata, Dominik Slezak
2010 Misc conf
Two Rough Approximations for Information Tables Containing Missing Values.
GrC
Michinori Nakata, Hiroshi Sakai
2009 — conf
An Overview of a Software Tool in Rough Non-deterministic Information Analysis.
ISMVL
Hiroshi Sakai, Hiroshi Kimura, Michinori Nakata
2009 — conf
Applying Rough Sets to Information Tables Containing Missing Values.
ISMVL
Michinori Nakata, Hiroshi Sakai
2009 — conf
Rough Sets under Non-deterministic Information.
RSKT
Michinori Nakata, Hiroshi Sakai
2009 — conf
The Lower System, the Upper System and Rules with Stability Factor in Non-deterministic Information Systems.
RSFDGrC
Hiroshi Sakai, Kohei Hayashi, Michinori Nakata, Dominik Slezak
2008 J jnl
Applying Rough Sets to Information Tables Containing Possibilistic Values.
Trans. Comput. Sci.
Michinori Nakata, Hiroshi Sakai
2008 — conf
Lower and Upper Approximations of Rules in Non-deterministic Information Systems.
RSCTC
Hiroshi Sakai, Ryuji Ishibashi, Michinori Nakata
2008 J jnl
Rough Sets Based Rule Generation from Data with Categorical and Numerical Values.
J. Adv. Comput. Intell. Intell. Informatics
Hiroshi Sakai, Kazuhiro Koba, Michinori Nakata
2008 B conf
Rough sets approximations in data tables containing missing values.
FUZZ-IEEE
Michinori Nakata, Hiroshi Sakai
2008 J jnl
Rules and Apriori Algorithm in Non-deterministic Information Systems.
Trans. Rough Sets
Hiroshi Sakai, Ryuji Ishibashi, Kazuhiro Koba, Michinori Nakata
2007 — conf
Applying Rough Sets to Data Tables Containing Missing Values.
RSEISP
Michinori Nakata, Hiroshi Sakai
2007 B conf
Applying Rough Sets to Information Tables Containing Probabilistic Values.
MDAI
Michinori Nakata, Hiroshi Sakai
2007 J jnl
Lower and Upper Approximations in Data Tables Containing Possibilistic Information.
Trans. Rough Sets
Michinori Nakata, Hiroshi Sakai
2007 — conf
On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems: Part 2.
RSFDGrC
Hiroshi Sakai, Ryuji Ishibashi, Kazuhiro Koba, Michinori Nakata
2007 B conf
On a Rough Sets Based Tool for Generating Rules from Data with Categorical and Numerical Values.
MDAI
Hiroshi Sakai, Kazuhiro Koba, Ryuji Ishibashi, Michinori Nakata
2006 J jnl
An Application of Discernibility Functions to Generating Minimal Rules in Non-Deterministic Information Systems.
J. Adv. Comput. Intell. Intell. Informatics
Hiroshi Sakai, Michinori Nakata
2006 — conf
Applying Rough Sets to Data Tables Containing Imprecise Information Under Probabilistic Interpretation.
RSCTC
Michinori Nakata, Hiroshi Sakai
2006 — conf
Applying Rough Sets to Data Tables Containing Possibilistic Information.
RSKT
Michinori Nakata, Hiroshi Sakai
2006 J jnl
Generalizing Possibility-Based Fuzzy Relational Models.
J. Adv. Comput. Intell. Intell. Informatics
Michinori Nakata
2006 — conf
On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems.
RSCTC
Hiroshi Sakai, Michinori Nakata
2006 B conf
Rough Sets Approximations to Possibilistic Information.
FUZZ-IEEE
Michinori Nakata, Hiroshi Sakai
2005 B conf
Checking Whether or Not Rough-Set-Based Methods to Incomplete Data Satisfy a Correctness Criterion.
MDAI
Michinori Nakata, Hiroshi Sakai
2005 — conf
Discernibility Functions and Minimal Rules in Non-deterministic Information Systems.
RSFDGrC (1)
Hiroshi Sakai, Michinori Nakata
2005 B conf
On a Tool for Rough Non-deterministic Information Analysis and Its Perspective for Handling Numerical Data.
MDAI
Hiroshi Sakai, Tetsuya Murai, Michinori Nakata
2005 — conf
Rough Sets Based Minimal Certain Rule Generation in Non-deterministic Information Systems: An Overview.
LAPTEC
Hiroshi Sakai, Michinori Nakata
2005 — conf
Rough Sets Handling Missing Values Probabilistically Interpreted.
RSFDGrC (1)
Michinori Nakata, Hiroshi Sakai
2005 — conf
Rough-set-based approaches to data containing incomplete information: possibility-based cases.
LAPTEC
Michinori Nakata, Hiroshi Sakai
2004 — conf
Considering Semantic Ambiguity and Indistinguishability for Values of Membership Attribute in Possibility-Based Fuzzy Relational Models.
Rough Sets and Current Trends in Computing
Michinori Nakata
2003 — conf
Granular Reasoning Using Zooming In & Out.
RSFDGrC
Tetsuya Murai, Germano Resconi, Michinori Nakata, Yoshiharu Sato
2003 — conf
Granular Reasoning Using Zooming In & Out: Aristotle's Categorical Syllogism.
RSKD
Tetsuya Murai, Yoshiharu Sato, Germano Resconi, Michinori Nakata
2002 B conf
Association Rules and Non-Classical Logics.
COMPSAC
Tetsuya Murai, Michinori Nakata, Yoshiharu Sato
2002 — conf
Functional Dependencies in Relational Expressions Based on Or-Sets.
Rough Sets and Current Trends in Computing
Michinori Nakata, Tetsuya Murai
2001 — conf
A Note on Conditional Logic and Association Rules.
JSAI Workshops
Tetsuya Murai, Michinori Nakata, Yoshiharu Sato
2001 — conf
A Note on Filtration and Granular Reasoning.
JSAI Workshops
Tetsuya Murai, Michinori Nakata, Yoshiharu Sato
2001 B conf
Data Dependencies Over rough Relational Expressions.
FUZZ-IEEE
Michinori Nakata, Tetsuya Murai
2000 B conf
Generation of non-transitive chains from rational-valued and real-valued fuzzy subsets under rough set theory.
KES
Tetsuya Murai, Michinori Nakata, Yoshiharu Sato
2000 — conf
Handling Data with Plural Sources in Databases.
Rough Sets and Current Trends in Computing
Michinori Nakata, Tetsuya Murai, Germano Resconi
2000 B conf
Semantic field as a bridge between data and decision.
KES
Germano Resconi, Tetsuya Murai, Michinori Nakata
2000 B conf
Semantic field: introduction.
KES
Germano Resconi, Tetsuya Murai, Michinori Nakata, Masaru Shimbo
1999 J jnl
A Semantic-Ambiguity-Free Relational Model for Handling Imperfect Information
J. Adv. Comput. Intell. Intell. Informatics
Michinori Nakata
1998 — conf
Generation of accessible worlds under available information.
KES (2)
Tetsuya Murai, Michinori Nakata, Masaru Shimbo
1998 — conf
On the treatment of imperfect information in intelligent databases.
KES (3)
Michinori Nakata, Germano Resconi, Tetsuya Murai
1997 C conf
Handling Imperfection in Databases: A Modal Logic Approach.
DEXA
Michinori Nakata, Germano Resconi, Tetsuya Murai
1996 J jnl
Unacceptable components in fuzzy relational databases.
Int. J. Intell. Syst.
Michinori Nakata