default search action
Hiroshi Sakai
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [c99]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: 120-133 - [c98]Michinori Nakata, Hiroshi Sakai, Takeshi Fujiwara:
Dealing with Missing Values Meaning Unknown in Probabilistic Approximations. IJCRS (1) 2024: 157-172 - 2023
- [c97]Hiroshi Sakai, Michinori Nakata:
Descriptor-Based Information Systems and Rule Learning from Different Types of Data Sets with Uncertainty. IUKM (2) 2023: 255-266 - [c96]Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara:
Extending Kryszkiewicz's Formula of Missing Values in Terms of Lipski's Approach. IUKM (2) 2023: 294-305 - [c95]Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara:
Kryszkiewicz's Relation for Indiscernibility of Objects in Data Tables Containing Missing Values. IJCRS 2023: 170-184 - 2022
- [j48]Touhid Mohammad Hossain
, Maman Hermana, Makky Sandra Jaya, Hiroshi Sakai
Uncertainty Quantification in Classifying Complex Geological Facies Using Bayesian Deep Learning. IEEE Access 10: 113767-113777 (2022) - [j47]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): 463-484 (2022) - [c94]Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara:
The Lattice Structure of Coverings in an Incomplete Information Table with Value Similarity. IUKM 2022: 16-28 - [c93]Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara:
Structures Derived from Possible Tables in an Incomplete Information Table. SCIS/ISIS 2022: 1-6 - [c92]Hiroshi Sakai, Michinori Nakata:
Apriori-based Rule Generation with Three-way Decisions for Heterogeneous and Uncertain Data. SCIS/ISIS 2022: 1-6 - 2021
- [j46]Sakaé Fuchino, André Ottenbreit Maschio Rodrigues, Hiroshi Sakai:
Strong downward Löwenheim-Skolem theorems for stationary logics, I. Arch. Math. Log. 60(1-2): 17-47 (2021) - [j45]Sakaé Fuchino
Strong downward Löwenheim-Skolem theorems for stationary logics, II: reflection down to the continuum. Arch. Math. Log. 60(3-4): 495-523 (2021) - [c91]Michinori Nakata, Norio Saito, Hiroshi Sakai, Takeshi Fujiwara:
Possible Coverings in Incomplete Information Tables with Similarity of Values. IJCRS 2021: 83-89 - 2020
- [j44]Brent Cody
The weakly compact reflection principle need not imply a high order of weak compactness. Arch. Math. Log. 59(1-2): 179-196 (2020) - [j43]Hiroshi Sakai
NIS-Apriori-based rule generation with three-way decisions and its application system in SQL. Inf. Sci. 507: 755-771 (2020) - [c90]Hiroshi Sakai
Granulated Tables with Frequency by Discretization and Their Application. IFIP TC12 ICIS 2020: 137-146 - [c89]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: 95-110
2010 – 2019
- 2019
- [j42]Yo Matsubara, Hiroshi Sakai, Toshimichi Usuba:
On the existence of skinny stationary subsets. Ann. Pure Appl. Log. 170(5): 539-557 (2019) - [j41]Hiroshi Sakai, Michinori Nakata, Wei-Zhi Wu, Duoqian Miao, Guoyin Wang:
Guest Editorial: Rough Sets and Data Mining. CAAI Trans. Intell. Technol. 4(4): 201-202 (2019) - [j40]Hiroshi Sakai
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): 203-213 (2019) - [j39]Hiroshi Sakai
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): 214-222 (2019) - [j38]Michinori Nakata, Hiroshi Sakai, Keitarou Hara:
Rule induction based on rough sets from information tables having continuous domains. CAAI Trans. Intell. Technol. 4(4): 237-244 (2019) - [j37]Kao-Yi Shen
Comparing Two Novel Hybrid MRDM Approaches to Consumer Credit Scoring Under Uncertainty and Fuzzy Judgments. Int. J. Fuzzy Syst. 21(1): 194-212 (2019) - [j36]Sean Cox
A variant of Shelah's characterization of Strong Chang's Conjecture. Math. Log. Q. 65(2): 251-257 (2019) - [c88]Michinori Nakata, Hiroshi Sakai, Keitarou Hara:
Rough Sets Based on Possibly Indiscernible Classes in Incomplete Information Tables with Continuous Values. AISI 2019: 13-23 - [c87]Zhiwen Jian, Hiroshi Sakai
An Apriori-based Data Analysis on Suspicious Network Event Recognition. IEEE BigData 2019: 5888-5896 - [c86]Michinori Nakata, Hiroshi Sakai:
Rule Induction Based on Rough Sets from Possibilistic Data Tables. IUKM 2019: 86-97 - [c85]Hiroshi Sakai, Kao-Yi Shen
NIS-Apriori Algorithm with a Target Descriptor for Handling Rules Supported by Minor Instances. IUKM 2019: 247-259 - [c84]Michinori Nakata, Hiroshi Sakai, Keitarou Hara:
Rough Sets Based on Possible Indiscernibility Relations in Incomplete Information Tables with Continuous Values. IJCRS 2019: 155-165 - [c83]Kao-Yi Shen
Multi-graded Hybrid MRDM Model for Assisting Financial Performance Evaluation Decisions: A Preliminary Work. IJCRS 2019: 439-453 - 2018
- [j35]Hiroshi Sakai:
On Katětov and Katětov-Blass orders on analytic P-ideals and Borel ideals. Arch. Math. Log. 57(3-4): 317-327 (2018) - [j34]Hiroshi Sakai
On Two Apriori-Based Rule Generators: Apriori in Prolog and Apriori in SQL. J. Adv. Comput. Intell. Intell. Informatics 22(3): 394-403 (2018) - [c82]Hiroshi Sakai
A Model of Rule Generation Handling Granules Defined by Implications in Table Data Sets. ICDM Workshops 2018: 446-453 - [c81]Michinori Nakata, Hiroshi Sakai, Keitarou Hara:
Rules Induced from Rough Sets in Information Tables with Continuous Values. IPMU (2) 2018: 490-502 - [c80]Michinori Nakata, Hiroshi Sakai, Keitarou Hara:
Rule Induction Based on Indiscernible Classes from Rough Sets in Information Tables with Continuous Values. IJCSR 2018: 323-336 - 2017
- [c79]Kao-Yi Shen
Stable Rules Evaluation for a Rough-Set-Based Bipolar Model: A Preliminary Study for Credit Loan Evaluation. IJCRS (1) 2017: 317-328 - [c78]Michinori Nakata, Hiroshi Sakai, Keitarou Hara:
Rough Sets in Incomplete Information Systems with Order Relations Under Lipski's Approach. IJCRS (1) 2017: 487-506 - [c77]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: 535-551 - 2016
- [j33]Hiroaki Minami, Hiroshi Sakai:
Katětov and Katětov-Blass orders on Fσ-ideals. Arch. Math. Log. 55(7-8): 883-898 (2016) - [c76]Shusaku Tsumoto, Michinori Nakata, Hiroshi Sakai
A proposal of a privacy-preserving questionnaire by non-deterministic information and its analysis. IEEE BigData 2016: 1956-1965 - [c75]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: 52-55 - [c74]Michinori Nakata, Hiroshi Sakai:
Describing Rough Approximations by Indiscernibility Relations in Information Tables with Incomplete Information. IPMU (2) 2016: 355-366 - [c73]Michinori Nakata, Hiroshi Sakai:
Rough Sets by Indiscernibility Relations in Data Sets Containing Possibilistic Information. IJCRS 2016: 187-196 - [c72]Hiroshi Sakai, Chenxi Liu, Xiaoxin Zhu
On NIS-Apriori Based Data Mining in SQL. IJCRS 2016: 514-524 - [c71]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: 178-182 - [c70]Michinori Nakata, Hiroshi Sakai:
Rough Approximations from Indiscernibility Relations under Incomplete Information. SCIS&ISIS 2016: 183-188 - 2015
- [j32]Hiroshi Sakai:
Simple proofs of SCH from reflection principles without using better scales. Arch. Math. Log. 54(5-6): 639-647 (2015) - [j31]Hiroshi Sakai
Granules for association rules and decision support in the getRNIA system. Intell. Decis. Technol. 9(4): 309-320 (2015) - [c69]Hiroshi Sakai, Chenxi Liu:
A Consideration on Learning by Rule Generation from Tables with Missing Values. IIAI-AAI 2015: 183-188 - [c68]Mao Wu, Hiroshi Sakai:
On Parallelization of the NIS-apriori Algorithm for Data Mining. KES 2015: 623-631 - [c67]Hiroshi Sakai, Chenxi Liu, Michinori Nakata:
Families of the Granules for Association Rules and Their Properties. RSKT 2015: 175-187 - 2014
- [j30]Hiroshi Sakai
Apriori-Based Rule Generation in Incomplete Information Databases and Non-Deterministic Information Systems. Fundam. Informaticae 130(3): 343-376 (2014) - [j29]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): 134-156 (2014) - [j28]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): 32-47 (2014) - [j27]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): 953-961 (2014) - [c66]Michinori Nakata, Hiroshi Sakai:
Rule induction based on rough sets from possibilistic information under Lipski's approach. GrC 2014: 218-223 - [c65]Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Chenxi Liu, Michinori Nakata:
Reconsideration of rules in tables with non-deterministic data. GrC 2014: 235-240 - [c64]Hiroshi Sakai, Mao Wu:
The Completeness of NIS-Apriori Algorithm and a Software Tool GetRNIA. IIAI-AAI 2014: 115-121 - [c63]Hiroshi Sakai, Mao Wu, Naoto Yamaguchi:
On the Definability of a Set and Rough Set-Based Rule Generation. IIAI-AAI 2014: 122-125 - [c62]Michinori Nakata, Hiroshi Sakai:
An Approach Based on Rough Sets to Possibilistic Information. IPMU (3) 2014: 61-70 - [c61]Mao Wu, Naoto Yamaguchi, Chenxi Liu, Hiroshi Sakai:
Toward the enhancement of the getRNIA system for rough-set based data analysis. SCIS&ISIS 2014: 1002-1006 - 2013
- [j26]Hiroshi Sakai:
Chang's Conjecture and weak square. Arch. Math. Log. 52(1-2): 29-45 (2013) - [j25]Michinori Nakata, Hiroshi Sakai
Twofold rough approximations under incomplete information. Int. J. Gen. Syst. 42(6): 546-571 (2013) - [j24]Hiroshi Sakai
Division Charts as Granules and Their Merging Algorithm for Rule Generation in Nondeterministic Data. Int. J. Intell. Syst. 28(9): 865-882 (2013) - [j23]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): 113-124 (2013) - [c60]Michinori Nakata, Hiroshi Sakai:
Rule induction based on rough sets from information tables containing possibilistic information. IFSA/NAFIPS 2013: 91-96 - [c59]Mao Wu, Michinori Nakata, Hiroshi Sakai:
An Overview of the getRNIA System for Non-deterministic Data. KES 2013: 615-622 - [c58]Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Michinori Nakata:
Rough Set-Based Information Dilution by Non-deterministic Information. RSFDGrC 2013: 55-66 - [c57]Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Michinori Nakata:
Non-deterministic Information in Rough Sets: A Survey and Perspective. RSKT 2013: 7-15 - 2012
- [j22]Hiroshi Sakai
Association rule-based decision making in table data. Int. J. Reason. based Intell. Syst. 4(3): 162-170 (2012) - [j21]Makoto Kikuchi, Taishi Kurahashi
On proofs of the incompleteness theorems based on Berry's paradox by Vopěnka, Chaitin, and Boolos. Math. Log. Q. 58(4-5): 307-316 (2012) - [c56]Hiroshi Sakai, Mao Wu, Michinori Nakata, Dominik Slezak:
Rough Sets-Based Machine Learning over Non-deterministic Data: A Brief Survey. AMLTA 2012: 3-12 - [c55]Mao Wu, Naoto Yamaguchi, Michinori Nakata, Hiroshi Sakai:
Learning a Table from a Table with Non-deterministic Information: A Perspective. AMLTA 2012: 24-32 - [c54]Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Michinori Nakata:
Division charts and their merging algorithm in Rough Non-deterministic information analysis. GrC 2012: 1-6 - [c53]Hiroshi Sakai, Michinori Nakata, Dominik Slezak:
Management of Information Incompleteness in Rough Non-deterministic Information Analysis. IPMU (1) 2012: 280-289 - 2011
- [j20]Tomonori Aoyama, Hiroshi Sakai:
Inter-Cloud Computing. Bus. Inf. Syst. Eng. 3(3): 173-177 (2011) - [j19]Hiroyoshi Yamada, Hiroshi Sakai, Yoshio Yamaguchi:
On Array Calibration Technique for Multipath Reference Waves. IEICE Trans. Commun. 94-B(5): 1201-1206 (2011) - [j18]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): 1-2 (2011) - [j17]Hiroshi Sakai
Stable rule extraction and decision making in rough non-deterministic information analysis. Int. J. Hybrid Intell. Syst. 8(1): 41-57 (2011) - [j16]Tomonori Aoyama, Hiroshi Sakai:
Inter-Cloud-Computing. Wirtschaftsinf. 53(3): 171-175 (2011) - [c52]Hitomi Okuma, Michinori Nakata, Dominik Slezak, Hiroshi Sakai:
Properties on inclusion relations and division charts in non-deterministic information systems. GrC 2011: 521-526 - [c51]Hiroshi Sakai, Michinori Nakata:
Toward association rules based decision making in Lipski's Incomplete Information Databases. GrC 2011: 570-575 - [c50]Hiroshi Sakai, Akira Arutaki:
Protocol Enhancement for Near Field Communication (NFC): Future Direction and Cross-Layer Approach. INCoS 2011: 605-610 - [c49]Takashi Ogawa, Hiroshi Sakai, Yasuhiro Suzuki, Kiyokazu Takagi
Pedestrian detection and tracking using in-vehicle lidar for automotive application. Intelligent Vehicles Symposium 2011: 734-739 - [c48]Michinori Nakata, Hiroshi Sakai:
Dual Rough Approximations in Information Tables with Missing Values. RSFDGrC 2011: 36-43 - [c47]Hiroshi Sakai, Michinori Nakata, Dominik Slezak:
A Prototype System for Rule Generation in Lipski's Incomplete Information Databases. RSFDGrC 2011: 175-182 - [c46]Hiroshi Sakai, Michinori Nakata, Dominik Slezak:
A NIS-Apriori Based Rule Generator in Prolog and Its Functionality for Table Data. RSKT 2011: 226-231 - [e2]James F. Peters, Andrzej Skowron, Hiroshi Sakai, Mihir K. Chakraborty, Dominik Slezak, Aboul Ella Hassanien, William Zhu:
Transactions on Rough Sets XIV. Lecture Notes in Computer Science 6600, Springer 2011, ISBN 978-3-642-21562-9 [contents] - 2010
- [c45]Hiroshi Sakai, Michinori Nakata, Dominik Slezak:
The Lower and the Upper Systems of Rules in Tables with Missing Values. FGIT-DTA/BSBT 2010: 132-141 - [c44]Michinori Nakata, Hiroshi Sakai:
Two Rough Approximations for Information Tables Containing Missing Values. GrC 2010: 363-368 - [c43]Hiroshi Sakai, Michinori Nakata, Dominik Slezak:
Toward Rough Sets Based Rule Generation from Tables with Uncertain Numerical Values. IUM 2010: 395-406 - [c42]Hitomi Okuma, Michinori Nakata, Dominik Slezak, Hiroshi Sakai:
An overview of decision making in Rough Non-deterministic Information Analysis. NaBIC 2010: 345-350 - [c41]Hiroshi Sakai, Michinori Nakata, Dominik Slezak:
Rule Generation in Lipski's Incomplete Information Databases. RSCTC 2010: 376-385
2000 – 2009
- 2009
- [c40]Dominik Slezak, Hiroshi Sakai:
Automatic Extraction of Decision Rules from Non-deterministic Data Systems: Theoretical Foundations and SQL-Based Implementation. FGIT-DTA 2009: 151-162 - [c39]Hiroshi Sakai, Hiroshi Kimura, Michinori Nakata:
An Overview of a Software Tool in Rough Non-deterministic Information Analysis. ISMVL 2009: 208-213 - [c38]Michinori Nakata, Hiroshi Sakai:
Applying Rough Sets to Information Tables Containing Missing Values. ISMVL 2009: 286-291 - [c37]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: 313-320 - [c36]Michinori Nakata, Hiroshi Sakai:
Rough Sets under Non-deterministic Information. RSKT 2009: 76-85 - [e1]Hiroshi Sakai, Mihir K. Chakraborty, Aboul Ella Hassanien, Dominik Slezak, William Zhu:
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 12th International Conference, RSFDGrC 2009, Delhi, India, December 15-18, 2009. Proceedings. Lecture Notes in Computer Science 5908, Springer 2009, ISBN 978-3-642-10645-3 [contents] - 2008
- [j15]Hiroshi Sakai
Rough Sets Based Rule Generation from Data with Categorical and Numerical Values. J. Adv. Comput. Intell. Intell. Informatics 12(5): 426-434 (2008) - [j14]Hiroshi Sakai:
Semistationary and stationary reflection. J. Symb. Log. 73(1): 181-192 (2008) - [j13]Michinori Nakata, Hiroshi Sakai:
Applying Rough Sets to Information Tables Containing Possibilistic Values. Trans. Comput. Sci. 2: 180-204 (2008) - [j12]Hiroshi Sakai
Rules and Apriori Algorithm in Non-deterministic Information Systems. Trans. Rough Sets 9: 328-350 (2008) - [c35]Michinori Nakata, Hiroshi Sakai:
Rough sets approximations in data tables containing missing values. FUZZ-IEEE 2008: 673-680 - [c34]Hiroshi Sakai, Ryuji Ishibashi, Michinori Nakata:
Lower and Upper Approximations of Rules in Non-deterministic Information Systems. RSCTC 2008: 299-309 - 2007
- [j11]Jin-Kyu Choi, Tetsuya Shiraishi, Toshinari Tanaka, Hiroshi Sakai:
A practical and useful autonomous towed vehicle for port area inspection. Adv. Robotics 21(3): 351-370 (2007) - [j10]Michinori Nakata, Hiroshi Sakai:
Lower and Upper Approximations in Data Tables Containing Possibilistic Information. Trans. Rough Sets 7: 170-189 (2007) - [c33]Shoichi Shimizu, Hironobu Fujiyoshi, Hiroshi Sakai, Takeo Kanade:
Recognition of Road Contours Based on Extraction of 3D Positions of Delineators. ITSC 2007: 672-677 - [c32]Hiroshi Sakai, Kazuhiro Koba, Ryuji Ishibashi, Michinori Nakata:
On a Rough Sets Based Tool for Generating Rules from Data with Categorical and Numerical Values. MDAI 2007: 269-281 - [c31]Michinori Nakata, Hiroshi Sakai:
Applying Rough Sets to Information Tables Containing Probabilistic Values. MDAI 2007: 282-294 - [c30]Michinori Nakata, Hiroshi Sakai:
Applying Rough Sets to Data Tables Containing Missing Values. RSEISP 2007: 181-191 - [c29]Hiroshi Sakai, Ryuji Ishibashi, Kazuhiro Koba, Michinori Nakata:
On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems: Part 2. RSFDGrC 2007: 280-288 - 2006
- [j9]Hiroshi Sakai, Masahiro Inuiguchi:
Special Issue on Rough Sets and Granular Computing. J. Adv. Comput. Intell. Intell. Informatics 10(5): 605 (2006) - [j8]Hiroshi Sakai, Michinori Nakata:
An Application of Discernibility Functions to Generating Minimal Rules in Non-Deterministic Information Systems. J. Adv. Comput. Intell. Intell. Informatics 10(5): 695-702 (2006) - [c28]Michinori Nakata, Hiroshi Sakai:
Rough Sets Approximations to Possibilistic Information. FUZZ-IEEE 2006: 2343-2350 - [c27]Takeshi Nakatsuru, Koji Murakami, Hiroshi Sakai:
Context-Aware Information Provision to the Mobile Phone Standby Screen. MDM 2006: 43 - [c26]Michinori Nakata, Hiroshi Sakai:
Applying Rough Sets to Data Tables Containing Imprecise Information Under Probabilistic Interpretation. RSCTC 2006: 213-223 - [c25]Hiroshi Sakai, Michinori Nakata:
On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems. RSCTC 2006: 264-273 - [c24]Michinori Nakata, Hiroshi Sakai:
Applying Rough Sets to Data Tables Containing Possibilistic Information. RSKT 2006: 147-155 - 2005
- [j7]Hiroshi Sakai:
Generalized Prikry forcing and iteration of generic ultrapowers. Math. Log. Q. 51(5): 507-523 (2005) - [c23]Jin-Kyu Choi, Hiroshi Sakai, Toshinari Tanaka:
Autonomous Towed Vehicle for Underwater Inspection in a Port Area. ICRA 2005: 188-193 - [c22]Hiroshi Sakai:
On a Rough Sets Based Data Mining Tool in Prolog: An Overview. INAP 2005: 48-65 - [c21]Michinori Nakata, Hiroshi Sakai:
Rough-set-based approaches to data containing incomplete information: possibility-based cases. LAPTEC 2005: 234-241 - [c20]Hiroshi Sakai, Michinori Nakata:
Rough Sets Based Minimal Certain Rule Generation in Non-deterministic Information Systems: An Overview. LAPTEC 2005: 256-263 - [c19]Hiroshi Sakai, Tetsuya Murai, Michinori Nakata:
On a Tool for Rough Non-deterministic Information Analysis and Its Perspective for Handling Numerical Data. MDAI 2005: 203-214 - [c18]Michinori Nakata, Hiroshi Sakai:
Checking Whether or Not Rough-Set-Based Methods to Incomplete Data Satisfy a Correctness Criterion. MDAI 2005: 227-239 - [c17]Hiroshi Sakai, Michinori Nakata:
Discernibility Functions and Minimal Rules in Non-deterministic Information Systems. RSFDGrC (1) 2005: 254-264 - [c16]Michinori Nakata, Hiroshi Sakai:
Rough Sets Handling Missing Values Probabilistically Interpreted. RSFDGrC (1) 2005: 325-334 - 2004
- [j6]Hiroshi Sakai
Basic Algorithms and Tools for Rough Non-deterministic Information Analysis. Trans. Rough Sets 1: 209-231 (2004) - [j5]Hiroshi Sakai:
Possible Equivalence Relations and Their Application to Hypothesis Generation in Non-deterministic Information Systems. Trans. Rough Sets 2: 82-106 (2004) - 2003
- [c15]Hiroshi Sakai:
A Framework of Rough Sets Based Rule Generation in Non-deterministic Information Systems. ISMIS 2003: 143-151 - 2001
- [j4]Hiroshi Sakai:
Effective Procedures for Handling Possible Equivalence Relations in Non-deterministic Information Systems. Fundam. Informaticae 48(4): 343-362 (2001) - [c14]Hiroshi Sakai:
Two Procedures for Dependencies among Attributes in a Table with Non-deterministic Information: A Summary. JSAI Workshops 2001: 301-305 - 2000
- [j3]Hiroshi Sakai, Akimichi Okuma:
On a Theorem Prover for Variational Logic Programs with Functors Setu and Sets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 8(1): 73-92 (2000) - [c13]Hiroshi Sakai, Akimichi Okuma:
An Algorithm for Checking Dependencies of Attributes in a Table with Non-deterministic Information: A Rough Sets Based Approach. PRICAI 2000: 219-229
1990 – 1999
- 1999
- [c12]Hiroshi Sakai, Akimichi Okuma:
An Algorithm for Finding Equivalence Relations from Tables with Non-Deterministic Information. RSFDGrC 1999: 64-72 - 1998
- [c11]Hiroshi Sakai:
Some Issues on Nondeterministic Knowledge Bases with Incomplete and Selective Information. Rough Sets and Current Trends in Computing 1998: 424-431 - 1996
- [c10]Hiroshi Sakai, Akimichi Okuma:
Applications of Logic Programs with Functor Set to Automated Problem Solving Under Uncertainty. IEA/AIE 1996: 377-382 - [c9]Yoshiaki Segawa, Hiroshi Sakai, Toshio Endoh, Kazuhito Murakami, Takashi Toriu, Hiroyasu Koshimizu:
Face Recognition through Hough Transform for Irises Extraction and Projection Procedures for Parts Localization. PRICAI 1996: 625-636 - 1995
- [c8]Shigeaki Iwasa, Shung Ho Shing, Hisashi Mogi, Hiroshi Nozuwe, Hiroo Hayashi, Osamu Wakamori, Takashi Ohmizo, Kuninori Tanaka, Hiroshi Sakai, Mitsuo Saito:
SSM-MP: more scalability in shared-memory multi-processor. ICCD 1995: 558-563 - 1993
- [j2]Hiroshi Sakai:
On a Framework for Logic Programming with Incomplete Information. Fundam. Informaticae 19(3/4): 223-234 (1993) - 1992
- [j1]Katsutoshi Sawada, Yoshiyuki Yashima, Hiroshi Sakai:
An HDTV bit-rate reduction codec at the STM-1 rate of SDH. Signal Process. Image Commun. 4(4-5): 345-358 (1992)
1980 – 1989
- 1988
- [c7]Shigeki Shibayama, Hiroshi Sakai, Toshiaki Takewaki, Hidetoshi Monoi, Yukihiro Morita, Hidenori Itoh:
Overview of Knowledge Base Mechanism. FGCS 1988: 197-207 - [c6]Hidetoshi Monoi, Yukihiro Morita, Hidenori Itoh, Toshiaki Takewaki, Hiroshi Sakai, Shigeki Shibayama:
Unification-Based Query Language for Relational Knowledge Bases and Its Parallel Execution. FGCS 1988: 896-903 - [c5]Hidetoshi Monoi, Yukihiro Morita, Hidenori Itoh, Hiroshi Sakai, Shigeki Shibayama:
Parallel Control Technique and Performance of an MPPM Knowledge-Base Machine. ICDE 1988: 210-217 - [c4]Hiroshi Sakai:
Inference Methods and Semantics on Or-type Knowledge Bases. LP 1988: 136-155 - 1987
- [c3]Hiroshi Sakai, Shigeki Shibayama, Hidetoshi Monoi, Yukihiro Morita, Hidenori Itoh:
A Simulation Study of a Knowledge Base Machine Architecture. IWDM 1987: 585-598 - 1985
- [c2]Shigeo Kamiya, Kazuhide Iwata, Hiroshi Sakai, Susumu Matsuda, Shigeki Shibayama, Kunio Murakami:
A Hardware Pipeline Algorithm for Relational Database Operation and Its Implementation Using Dedicated Hardware. ISCA 1985: 250-257 - 1984
- [c1]Hiroshi Sakai, Kazuhide Iwata, Shigeo Kamiya, Masaaki Abe, Akio Tanaka, Shigeki Shibayama, Kunio Murakami:
Design and Implementation of the Relational Datbase Engine. FGCS 1984: 419-426
Coauthor Index
[c99] [c98] [c97] [c96] [c95] [j47] [c94] [c93] [c92] [c91] [j43] [c89] [j41] [j40] [j38] [c88] [c86] [c85] [c84] [j34] [c82] [c81] [c80] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [j31] [c67] [j30] [j28] [j27] [c66] [c65] [c62] [j25] [j24] [c60] [c59] [c58] [c57] [j22] [c56] [c55] [c54] [c53] [j17] [c52] [c51] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c39] [c38] [c37] [c36] [j15] [j13] [j12] [c35] [c34] [j10] [c32] [c31] [c30] [c29] [j8] [c28] [c26] [c25] [c24] [c21] [c20] [c19] [c18] [c17] [c16]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-08 19:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: