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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, Said Jadid Abdulkadir:
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, 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): 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, Hiroshi Sakai:
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, Michinori Nakata, Junzo Watada:
NIS-Apriori-based rule generation with three-way decisions and its application system in SQL. Inf. Sci. 507: 755-771 (2020) - [c90]Hiroshi Sakai, Zhiwen Jian:
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, 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): 203-213 (2019) - [j39]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): 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, 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): 194-212 (2019) - [j36]Sean Cox, Hiroshi Sakai:
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, Junzo Watada, Arunava Roy, M. Hilmi B. Hassan:
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, Michinori Nakata:
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, Hiroshi Sakai, Gwo-Hshiung Tzeng:
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, 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): 394-403 (2018) - [c82]Hiroshi Sakai, Michinori Nakata, Junzo Watada:
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, 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: 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, Chenxi Liu:
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, Michinori Nakata:
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, Mao Wu, Naoto Yamaguchi, Michinori Nakata:
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, Mao Wu, Michinori Nakata:
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, Mao Wu, Michinori Nakata:
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, Mao Wu, Michinori Nakata:
Association rule-based decision making in table data. Int. J. Reason. based Intell. Syst. 4(3): 162-170 (2012) - [j21]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): 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, 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): 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, Katsuhiro Morikawa:
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, Kazuhiro Koba, Michinori Nakata:
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, Ryuji Ishibashi, Kazuhiro Koba, Michinori Nakata:
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, Akimichi Okuma:
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]
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