H. Sakai

Most-cited papers

Twofold rough approximations under incomplete information
M. Nakata, H. Sakai
2013International Journal of General Systems37 citations
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NIS-Apriori-based rule generation with three-way decisions and its application system in SQL
H. Sakai, M. Nakata, J. Watada
2020Information Sciences35 citations Open access
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Apriori-Based Rule Generation in Incomplete Information Databases and Non-Deterministic Information Systems
H. Sakai, Mao Wu, M. Nakata
2014Fundamenta Informaticae33 citations
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Two Rough Set-based Software Tools for Analyzing Non-Deterministic Data
Wu Mao, M. Nakata, H. Sakai
2014Int. J. Rough Sets Data Anal.32 citations
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Stable rule extraction and decision making in rough non-deterministic information analysis
H. Sakai, Hitomi Okuma, M. Nakata, D. Ślȩzak
2011International Journal of Hybrid Intelligent Systems28 citations
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A Prototype System for Rule Generation in Lipski's Incomplete Information Databases
H. Sakai, M. Nakata, D. Ślȩzak
2011Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing20 citations
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Inter-Cloud Computing
T. Aoyama, H. Sakai
2011Business & Information Systems Engineering19 citations
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Rough set-based rule generation and Apriori-based rule generation from table data sets: a survey and a combination
H. Sakai, M. Nakata
2019CAAI Transactions on Intelligence Technology14 citations Open access
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An Overview of the getRNIA System for Non-deterministic Data
Mao Wu, M. Nakata, H. Sakai
2013International Conference on Knowledge-Based Intelligent Information & Engineering Systems14 citations Open access
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Inter-Cloud-Computing
T. Aoyama, H. Sakai
2011Wirtschaftsinf.11 citations
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Uncertainty Quantification in Classifying Complex Geological Facies Using Bayesian Deep Learning
T. Hossain, M. Hermana, M. Jaya, H. Sakai +1 more
2022IEEE Access10 citations Open access
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Rule Generation in Lipski's Incomplete Information Databases
H. Sakai, M. Nakata, D. Ślȩzak
2010International Conference on Rough Sets and Current Trends in Computing10 citations
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On Parallelization of the NIS-apriori Algorithm for Data Mining
Mao Wu, H. Sakai
2015International Conference on Knowledge-Based Intelligent Information & Engineering Systems9 citations Open access
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Describing Rough Approximations by Indiscernibility Relations in Information Tables with Incomplete Information
M. Nakata, H. Sakai
2016International Conference on Information Processing and Management of Uncertainty8 citations
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On NIS-Apriori Based Data Mining in SQL
H. Sakai, Chen-Xi Liu, Xiaoxin Zhu, M. Nakata
2016IJCRS8 citations Open access
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ROUGH NON-DETERMINISTIC INFORMATION ANALYSIS FOR UNCERTAIN INFORMATION
H. Sakai, Hitomi Okuma, Wu Mao, M. Nakata
20138 citations
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Transactions on Rough Sets XIV
F. James, A. Skowron, H. Sakai, M. K. Chakraborty +3 more
2011Trans. Rough Sets8 citations
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Rule generation in Rough set Non-deterministic Information Analysis (RNIA) and some applications of the obtained rules
H. Sakai, M. Nakata, Dominik Ślęzak, J. Watada
2025Applied Soft Computing7 citations Open access
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An Apriori-based Data Analysis on Suspicious Network Event Recognition
Zhiwen Jian, H. Sakai, J. Watada, Arunava Roy +1 more
20192019 IEEE International Conference on Big Data (Big Data)7 citations
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Information Dilution: Granule-Based Information Hiding in Table Data - A Case of Lenses Data Set in UCI Machine Learning Repository
H. Sakai, Chen-Xi Liu, M. Nakata
2016International Conference on Computing Measurement Control and Sensor Network7 citations
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Division Charts as Granules and Their Merging Algorithm for Rule Generation in Nondeterministic Data
H. Sakai, Mao Wu, M. Nakata
2013International Journal of Intelligent Systems7 citations Open access
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Rule Induction Based on Indiscernible Classes from Rough Sets in Information Tables with Continuous Values
M. Nakata, H. Sakai, K. Hara
2018IJCSR6 citations
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Pawlak’s Many Valued Information System, Non-deterministic Information System, and a Proposal of New Topics on Information Incompleteness Toward the Actual Application
H. Sakai, M. Nakata, Yi-Yu Yao
20176 citations
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An Approach Based on Rough Sets to Possibilistic Information
M. Nakata, H. Sakai
2014International Conference on Information Processing and Management of Uncertainty5 citations
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A Descriptor-Based Division Chart Table in Rough Non-deterministic Information Analysis
H. Sakai, Hitomi Okuma, Wu Mao, M. Nakata
20125 citations
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A MATHEMATICAL EXTENSION OF ROUGH SET-BASED ISSUES TOWARD UNCERTAIN INFORMATION ANALYSIS
H. Sakai, Kohei Hayashi, M. Nakata, D. Ślȩzak
20115 citations
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Rough set-based rule generation and Apriori-based rule generation from table data sets II: SQL-based environment for rule generation and decision support
H. Sakai, Zhiwen Jian
2019CAAI Transactions on Intelligence Technology4 citations Open access
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Rules Induced from Rough Sets in Information Tables with Continuous Values
M. Nakata, H. Sakai, K. Hara
2018International Conference on Information Processing and Management of Uncertainty4 citations
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A proposal of a privacy-preserving questionnaire by non-deterministic information and its analysis
S. Tsumoto, M. Nakata, H. Sakai, Chen-Xi Liu
20162016 IEEE International Conference on Big Data (Big Data)4 citations Open access
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The Completeness of NIS-Apriori Algorithm and a Software Tool GetRNIA
H. Sakai, Mao Wu
2014IIAI International Conference on Advanced Applied Informatics4 citations
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Association rule-based decision making in table data
H. Sakai, Wu Mao, M. Nakata
2012Int. J. Reason. based Intell. Syst.4 citations
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Consideration of Detecting Data and Functional Dependency in Tabular Data with Missing Values by the Obtained Rules
H. Sakai, M. Nakata, Dominik Ślęzak, J. Watada
2024IJCRS3 citations
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An Adjusted Apriori Algorithm to Itemsets Defined by Tables and an Improved Rule Generator with Three-Way Decisions
Zhiwen Jian, H. Sakai, Takuya Ohwa, Kao-Yi Shen +1 more
2020IJCRS3 citations Open access
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Rough Sets Non-Deterministic Information Analysis and a NIS-Apriori System – A Rule Generation System Based on Possible World Semantics –
H. Sakai, M. Nakata, J. Watada
20203 citations Open access
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Multi-graded Hybrid MRDM Model for Assisting Financial Performance Evaluation Decisions: A Preliminary Work
Kao-Yi Shen, H. Sakai, Gwo-Hshiung Tzeng
2019IJCRS3 citations
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Guest Editorial: Rough Sets and Data Mining
H. Sakai, M. Nakata, Wei-Zhi Wu, Duo-Qian Miao +1 more
2019CAAI Transactions on Intelligence Technology3 citations Open access
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Rule induction based on rough sets from information tables having continuous domains
M. Nakata, H. Sakai, K. Hara
2019CAAI Transactions on Intelligence Technology3 citations Open access
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A Rough Set Based Rule Induction Approach to Geoscience Data
T. Hossain, J. Watada, M. Hermana, S. B. M. Shukri +1 more
20182018 International Conference on Unconventional Modelling, Simulation and Optimization - Soft Computing and Meta Heuristics - UMSO3 citations
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Stable Rules Evaluation for a Rough-Set-Based Bipolar Model: A Preliminary Study for Credit Loan Evaluation
Kao-Yi Shen, H. Sakai, Gwo-Hshiung Tzeng
2017IJCRS3 citations
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Rough Sets by Indiscernibility Relations in Data Sets Containing Possibilistic Information
M. Nakata, H. Sakai
2016IJCRS3 citations
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Application of Rough Set-Based Information Analysis to Questionnaire Data
Naoto Yamaguchi, Mao Wu, M. Nakata, H. Sakai
2014Journal of Advanced Computational Intelligence and Intelligent Informatics3 citations Open access
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Rule induction based on rough sets from information tables containing possibilistic information
M. Nakata, H. Sakai
2013Joint IFSA World Congress and NAFIPS Annual Meeting3 citations
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Rough Non-deterministic Information Analysis: Foundations and Its Perspective in Machine Learning
H. Sakai, Hitomi Okuma, M. Nakata
20133 citations
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Rough Set-Based Information Dilution by Non-deterministic Information
H. Sakai, Mao Wu, Naoto Yamaguchi, M. Nakata
2013Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing3 citations Open access
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Dual Rough Approximations in Information Tables with Missing Values
M. Nakata, H. Sakai
2011Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing3 citations
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Properties on inclusion relations and division charts in non-deterministic information systems
Hitomi Okuma, M. Nakata, D. Ślȩzak, H. Sakai
2011IEEE International Conference on Granular Computing3 citations
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An overview of decision making in Rough Non-deterministic Information Analysis
Hitomi Okuma, M. Nakata, D. Ślȩzak, H. Sakai
2010World Congress on Nature and Biologically Inspired Computing3 citations
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Two Rough Approximations for Information Tables Containing Missing Values
M. Nakata, H. Sakai
2010IEEE International Conference on Granular Computing3 citations
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Rough Sets and Rule Induction from Indiscernibility Relations Based on Possible World Semantics in Incomplete Information Systems with Continuous Domains
M. Nakata, H. Sakai, K. Hara
2020Studies in Big Data2 citations
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Rough Sets Based on Possibly Indiscernible Classes in Incomplete Information Tables with Continuous Values
M. Nakata, H. Sakai, K. Hara
2019International Conference on Advanced Intelligent System and Informatics2 citations
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