Hiroshi Sakai

ORCID

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 51

Top Venues

IJCRS

Arch. Math. Log.

IJCRS (1)

CAAI Trans. Intell. Technol.

Publications

Hiroshi Sakai, Michinori Nakata, Dominik Slezak, Junzo Watada
Consideration of Detecting Data and Functional Dependency in Tabular Data with Missing Values by the Obtained Rules. IJCRS (1) (2024)
Michinori Nakata, Hiroshi Sakai, Takeshi Fujiwara
Dealing with Missing Values Meaning Unknown in Probabilistic Approximations. IJCRS (1) (2024)
Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara
Kryszkiewicz's Relation for Indiscernibility of Objects in Data Tables Containing Missing Values. IJCRS (2023)
Hiroshi Sakai, Michinori Nakata
Descriptor-Based Information Systems and Rule Learning from Different Types of Data Sets with Uncertainty. IUKM (2) (2023)
Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara
Extending Kryszkiewicz's Formula of Missing Values in Terms of Lipski's Approach. IUKM (2) (2023)
Hiroshi Sakai, Michinori Nakata
Apriori-based Rule Generation with Three-way Decisions for Heterogeneous and Uncertain Data. SCIS/ISIS (2022)
Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara
The Lattice Structure of Coverings in an Incomplete Information Table with Value Similarity. IUKM (2022)
Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara
Structures Derived from Possible Tables in an Incomplete Information Table. SCIS/ISIS (2022)
Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara
Rough Sets and Rule Induction by an Approach Based on Coverings in Information Tables. J. Multiple Valued Log. Soft Comput. 39 (5-6) (2022)
Touhid Mohammad Hossain, Maman Hermana, Makky Sandra Jaya, Hiroshi Sakai, Said Jadid Abdulkadir
Uncertainty Quantification in Classifying Complex Geological Facies Using Bayesian Deep Learning. IEEE Access 10 (2022)
Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara
Possible Coverings in Incomplete Information Tables with Similarity of Values. IJCRS (2021)
Sakaé Fuchino, André Ottenbreit Maschio Rodrigues, Hiroshi Sakai
Strong downward Löwenheim-Skolem theorems for stationary logics, I. Arch. Math. Log. 60 (1-2) (2021)
Sakaé Fuchino, André Ottenbreit Maschio Rodrigues, Hiroshi Sakai
Strong downward Löwenheim-Skolem theorems for stationary logics, II: reflection down to the continuum. Arch. Math. Log. 60 (3-4) (2021)
Hiroshi Sakai, Michinori Nakata, Junzo Watada
NIS-Apriori-based rule generation with three-way decisions and its application system in SQL. Inf. Sci. 507 (2020)
Zhiwen Jian, Hiroshi Sakai, Takuya Ohwa, Kao-Yi Shen, Michinori Nakata
An Adjusted Apriori Algorithm to Itemsets Defined by Tables and an Improved Rule Generator with Three-Way Decisions. IJCRS (2020)
Brent Cody, Hiroshi Sakai
The weakly compact reflection principle need not imply a high order of weak compactness. Arch. Math. Log. 59 (1-2) (2020)
Hiroshi Sakai, Zhiwen Jian
Granulated Tables with Frequency by Discretization and Their Application. IFIP TC12 ICIS (2020)
Hiroshi Sakai, Kao-Yi Shen, Michinori Nakata
NIS-Apriori Algorithm with a Target Descriptor for Handling Rules Supported by Minor Instances. IUKM (2019)
Michinori Nakata, Hiroshi Sakai, Keitarou Hara
Rule induction based on rough sets from information tables having continuous domains. CAAI Trans. Intell. Technol. 4 (4) (2019)
Michinori Nakata, Hiroshi Sakai, Keitarou Hara
Rough Sets Based on Possible Indiscernibility Relations in Incomplete Information Tables with Continuous Values. IJCRS (2019)
Hiroshi Sakai, Michinori Nakata
Rough set-based rule generation and Apriori-based rule generation from table data sets: a survey and a combination. CAAI Trans. Intell. Technol. 4 (4) (2019)
Michinori Nakata, Hiroshi Sakai
Rule Induction Based on Rough Sets from Possibilistic Data Tables. IUKM (2019)
Hiroshi Sakai, Zhiwen Jian
Rough set-based rule generation and Apriori-based rule generation from table data sets II: SQL-based environment for rule generation and decision support. CAAI Trans. Intell. Technol. 4 (4) (2019)
Sean Cox, Hiroshi Sakai
A variant of Shelah's characterization of Strong Chang's Conjecture. Math. Log. Q. 65 (2) (2019)
Michinori Nakata, Hiroshi Sakai, Keitarou Hara
Rough Sets Based on Possibly Indiscernible Classes in Incomplete Information Tables with Continuous Values. AISI (2019)
Zhiwen Jian, Hiroshi Sakai, Junzo Watada, Arunava Roy, M. Hilmi B. Hassan
An Apriori-based Data Analysis on Suspicious Network Event Recognition. IEEE BigData (2019)
Kao-Yi Shen, Hiroshi Sakai, Gwo-Hshiung Tzeng
Multi-graded Hybrid MRDM Model for Assisting Financial Performance Evaluation Decisions: A Preliminary Work. IJCRS (2019)
Kao-Yi Shen, Hiroshi Sakai, Gwo-Hshiung Tzeng
Comparing Two Novel Hybrid MRDM Approaches to Consumer Credit Scoring Under Uncertainty and Fuzzy Judgments. Int. J. Fuzzy Syst. 21 (1) (2019)
Hiroshi Sakai, Michinori Nakata, Wei-Zhi Wu, Duoqian Miao, Guoyin Wang
Guest Editorial: Rough Sets and Data Mining. CAAI Trans. Intell. Technol. 4 (4) (2019)
Yo Matsubara, Hiroshi Sakai, Toshimichi Usuba
On the existence of skinny stationary subsets. Ann. Pure Appl. Log. 170 (5) (2019)
Michinori Nakata, Hiroshi Sakai, Keitarou Hara
Rule Induction Based on Indiscernible Classes from Rough Sets in Information Tables with Continuous Values. IJCSR (2018)
Hiroshi Sakai, Michinori Nakata, Junzo Watada
A Model of Rule Generation Handling Granules Defined by Implications in Table Data Sets. ICDM Workshops (2018)
Michinori Nakata, Hiroshi Sakai, Keitarou Hara
Rules Induced from Rough Sets in Information Tables with Continuous Values. IPMU (2) (2018)
Hiroshi Sakai, Kao-Yi Shen, Michinori Nakata
On Two Apriori-Based Rule Generators: Apriori in Prolog and Apriori in SQL. J. Adv. Comput. Intell. Intell. Informatics 22 (3) (2018)
Hiroshi Sakai
On Katětov and Katětov-Blass orders on analytic P-ideals and Borel ideals. Arch. Math. Log. 57 (3-4) (2018)
Michinori Nakata, Hiroshi Sakai, Keitarou Hara
Rough Sets in Incomplete Information Systems with Order Relations Under Lipski's Approach. IJCRS (1) (2017)
Kao-Yi Shen, Hiroshi Sakai, Gwo-Hshiung Tzeng
Stable Rules Evaluation for a Rough-Set-Based Bipolar Model: A Preliminary Study for Credit Loan Evaluation. IJCRS (1) (2017)
Hiroshi Sakai, Michinori Nakata, Junzo Watada
A Proposal of Machine Learning by Rule Generation from Tables with Non-deterministic Information and Its Prototype System. IJCRS (1) (2017)
Michinori Nakata, Hiroshi Sakai
Rough Sets by Indiscernibility Relations in Data Sets Containing Possibilistic Information. IJCRS (2016)
Hiroaki Minami, Hiroshi Sakai
-ideals. Arch. Math. Log. 55 (7-8) (2016)
Hiroshi Sakai, Chenxi Liu, Xiaoxin Zhu, Michinori Nakata
On NIS-Apriori Based Data Mining in SQL. IJCRS (2016)
Michinori Nakata, Hiroshi Sakai
Rough Approximations from Indiscernibility Relations under Incomplete Information. SCIS&ISIS (2016)
Chenxi Liu, Hiroshi Sakai, Xiaoxin Zhu, Michinori Nakata
On Apriori-Based Rule Generation in SQL - A Case of the Deterministic Information System. SCIS&ISIS (2016)
Michinori Nakata, Hiroshi Sakai
Describing Rough Approximations by Indiscernibility Relations in Information Tables with Incomplete Information. IPMU (2) (2016)
Shusaku Tsumoto, Michinori Nakata, Hiroshi Sakai, Chenxi Liu
A proposal of a privacy-preserving questionnaire by non-deterministic information and its analysis. IEEE BigData (2016)
Hiroshi Sakai, Chenxi Liu, Michinori Nakata
Information Dilution: Granule-Based Information Hiding in Table Data - A Case of Lenses Data Set in UCI Machine Learning Repository. CMCSN (2016)
Mao Wu, Hiroshi Sakai
On Parallelization of the NIS-apriori Algorithm for Data Mining. KES (2015)
Hiroshi Sakai, Chenxi Liu, Michinori Nakata
Families of the Granules for Association Rules and Their Properties. RSKT (2015)
Hiroshi Sakai, Chenxi Liu
A Consideration on Learning by Rule Generation from Tables with Missing Values. IIAI-AAI (2015)
Hiroshi Sakai
Simple proofs of SCH from reflection principles without using better scales. Arch. Math. Log. 54 (5-6) (2015)
Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Michinori Nakata
Granules for association rules and decision support in the getRNIA system. Intell. Decis. Technol. 9 (4) (2015)
Hiroshi Sakai, Mao Wu, Michinori Nakata
Apriori-Based Rule Generation in Incomplete Information Databases and Non-Deterministic Information Systems. Fundam. Informaticae 130 (3) (2014)
Hiroshi Sakai, Mao Wu, Naoto Yamaguchi
A survey and perspective connected with rough non-deterministic information analysis. Int. J. Comput. Intell. Stud. 3 (2/3) (2014)
Michinori Nakata, Hiroshi Sakai
Rule induction based on rough sets from possibilistic information under Lipski's approach. GrC (2014)
Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Chenxi Liu, Michinori Nakata
Reconsideration of rules in tables with non-deterministic data. GrC (2014)
Mao Wu, Michinori Nakata, Hiroshi Sakai
Two Rough Set-based Software Tools for Analyzing Non-Deterministic Data. Int. J. Rough Sets Data Anal. 1 (1) (2014)
Naoto Yamaguchi, Mao Wu, Michinori Nakata, Hiroshi Sakai
Application of Rough Set-Based Information Analysis to Questionnaire Data. J. Adv. Comput. Intell. Intell. Informatics 18 (6) (2014)
Hiroshi Sakai, Mao Wu, Naoto Yamaguchi
On the Definability of a Set and Rough Set-Based Rule Generation. IIAI-AAI (2014)
Michinori Nakata, Hiroshi Sakai
An Approach Based on Rough Sets to Possibilistic Information. IPMU (3) (2014)
Hiroshi Sakai, Mao Wu
The Completeness of NIS-Apriori Algorithm and a Software Tool GetRNIA. IIAI-AAI (2014)
Mao Wu, Naoto Yamaguchi, Chenxi Liu, Hiroshi Sakai
Toward the enhancement of the getRNIA system for rough-set based data analysis. SCIS&ISIS (2014)
Hiroshi Sakai, Mao Wu, Michinori Nakata
Division Charts as Granules and Their Merging Algorithm for Rule Generation in Nondeterministic Data. Int. J. Intell. Syst. 28 (9) (2013)
Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Michinori Nakata
Non-deterministic Information in Rough Sets: A Survey and Perspective. RSKT (2013)
Mao Wu, Michinori Nakata, Hiroshi Sakai
An Overview of the getRNIA System for Non-deterministic Data. KES (2013)
Akira Arutaki, Hiroshi Sakai, Akira Matsumoto
Structured design concept for cross-layered protocols; applying to near field communication (NFC). Int. J. Space Based Situated Comput. 3 (2) (2013)
Hiroshi Sakai
Chang's Conjecture and weak square. Arch. Math. Log. 52 (1-2) (2013)
Michinori Nakata, Hiroshi Sakai
Rule induction based on rough sets from information tables containing possibilistic information. IFSA/NAFIPS (2013)
Michinori Nakata, Hiroshi Sakai
Twofold rough approximations under incomplete information. Int. J. Gen. Syst. 42 (6) (2013)
Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Michinori Nakata
Rough Set-Based Information Dilution by Non-deterministic Information. RSFDGrC (2013)
Hiroshi Sakai, Michinori Nakata, Dominik Slezak
Management of Information Incompleteness in Rough Non-deterministic Information Analysis. IPMU (1) (2012)
Hiroshi Sakai, Mao Wu, Michinori Nakata
Association rule-based decision making in table data. Int. J. Reason. based Intell. Syst. 4 (3) (2012)
Mao Wu, Naoto Yamaguchi, Michinori Nakata, Hiroshi Sakai
Learning a Table from a Table with Non-deterministic Information: A Perspective. AMLTA (2012)
Hiroshi Sakai, Mao Wu, Michinori Nakata, Dominik Slezak
Rough Sets-Based Machine Learning over Non-deterministic Data: A Brief Survey. AMLTA (2012)
Makoto Kikuchi, Taishi Kurahashi, Hiroshi Sakai
On proofs of the incompleteness theorems based on Berry's paradox by Vopěnka, Chaitin, and Boolos. Math. Log. Q. 58 (4-5) (2012)
Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Michinori Nakata
Division charts and their merging algorithm in Rough Non-deterministic information analysis. GrC (2012)
Hiroshi Sakai, Akira Arutaki
Protocol Enhancement for Near Field Communication (NFC): Future Direction and Cross-Layer Approach. INCoS (2011)
Hiroyoshi Yamada, Hiroshi Sakai, Yoshio Yamaguchi
On Array Calibration Technique for Multipath Reference Waves. IEICE Trans. Commun. (5) (2011)
Hitomi Okuma, Michinori Nakata, Dominik Slezak, Hiroshi Sakai
Properties on inclusion relations and division charts in non-deterministic information systems. GrC (2011)
Michinori Nakata, Hiroshi Sakai
Dual Rough Approximations in Information Tables with Missing Values. RSFDGrC (2011)
Hiroshi Sakai, Michinori Nakata
Toward association rules based decision making in Lipski's Incomplete Information Databases. GrC (2011)
Aboul Ella Hassanien, Hiroshi Sakai, Dominik Slezak, Mihir K. Chakraborty, William Zhu
Special issue: Rough and Fuzzy Methods for Data Mining. Int. J. Hybrid Intell. Syst. 8 (1) (2011)
Takashi Ogawa, Hiroshi Sakai, Yasuhiro Suzuki, Kiyokazu Takagi, Katsuhiro Morikawa
Pedestrian detection and tracking using in-vehicle lidar for automotive application. Intelligent Vehicles Symposium (2011)
Tomonori Aoyama, Hiroshi Sakai
Inter-Cloud Computing. Bus. Inf. Syst. Eng. 3 (3) (2011)
Hiroshi Sakai, Michinori Nakata, Dominik Slezak
A Prototype System for Rule Generation in Lipski's Incomplete Information Databases. RSFDGrC (2011)
Hiroshi Sakai, Hitomi Okuma, Michinori Nakata, Dominik Slezak
Stable rule extraction and decision making in rough non-deterministic information analysis. Int. J. Hybrid Intell. Syst. 8 (1) (2011)
Tomonori Aoyama, Hiroshi Sakai
Inter-Cloud-Computing. Wirtschaftsinf. 53 (3) (2011)
Hiroshi Sakai, Michinori Nakata, Dominik Slezak
A NIS-Apriori Based Rule Generator in Prolog and Its Functionality for Table Data. RSKT (2011)
Hiroshi Sakai, Michinori Nakata, Dominik Slezak
The Lower and the Upper Systems of Rules in Tables with Missing Values. FGIT-DTA/BSBT (2010)
Hiroshi Sakai, Michinori Nakata, Dominik Slezak
Toward Rough Sets Based Rule Generation from Tables with Uncertain Numerical Values. IUM (2010)
Hitomi Okuma, Michinori Nakata, Dominik Slezak, Hiroshi Sakai
An overview of decision making in Rough Non-deterministic Information Analysis. NaBIC (2010)
Michinori Nakata, Hiroshi Sakai
Two Rough Approximations for Information Tables Containing Missing Values. GrC (2010)
Hiroshi Sakai, Michinori Nakata, Dominik Slezak
Rule Generation in Lipski's Incomplete Information Databases. RSCTC (2010)
Hiroshi Sakai, Kohei Hayashi, Michinori Nakata, Dominik Slezak
The Lower System, the Upper System and Rules with Stability Factor in Non-deterministic Information Systems. RSFDGrC (2009)
Michinori Nakata, Hiroshi Sakai
Rough Sets under Non-deterministic Information. RSKT (2009)
Dominik Slezak, Hiroshi Sakai
Automatic Extraction of Decision Rules from Non-deterministic Data Systems: Theoretical Foundations and SQL-Based Implementation. FGIT-DTA (2009)
Michinori Nakata, Hiroshi Sakai
Applying Rough Sets to Information Tables Containing Missing Values. ISMVL (2009)
Hiroshi Sakai, Hiroshi Kimura, Michinori Nakata
An Overview of a Software Tool in Rough Non-deterministic Information Analysis. ISMVL (2009)
Michinori Nakata, Hiroshi Sakai
Rough sets approximations in data tables containing missing values. FUZZ-IEEE (2008)
Hiroshi Sakai
Semistationary and stationary reflection. J. Symb. Log. 73 (1) (2008)
Michinori Nakata, Hiroshi Sakai
Applying Rough Sets to Information Tables Containing Possibilistic Values. Trans. Comput. Sci. 2 (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hiroshi Sakai