International conference proceedings - Kudo Yasuo

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  1. A Vector Is a Granule: A Novel Extension of the Variable Precision Rough Set Model

    Hajime Okawa, Yasuo Kudo, and Tetsuya Murai，Proceedings of International Joint Conference on Rough Sets 2024，Springer，2024.05，Halifax

  2. Partial Discernibility Matrices for Enumerating Relative Reducts of Large Datasets

    Hajime Okawa, Yasuo Kudo, and Tetsuya Murai，Proc. of SCIS&ISIS2022，SOFT，2022.11，伊勢志摩

  3. Investigations of Interests that are Induced by Remarkers and their Remarks for Item Advertisements Based on Influencer's Recommendation

    Komei Arasawa, Shun Hattori, Yasuo Kudo，Proceedings of SCIS & ISIS 2018，(p.789 ～ 795)，IEEE CPS，2018.12，Toyama

  4. An Attempt of Object Reduction in Rough Set Theory

    Yasuo Kudo and Tetsuya Murai，Proceedings of SCIS & ISIS 2018，(p.33 ～ 36)，IEEE CPS，2018.12，Toyama

  5. Proposal of a Recommendation Method by Direct Setting of Preference Patterns Based on Interrelationship Mining

    Yasuo Kudo, Masashi Kuroda and Tetsuya Murai，Proceedings of ISASE-MAICS 2018，JSKE，2018.11，Spokane

  6. A Note on a Heuristic Attribute Reduction Method with Redundancy Checking

    Yasuo Kudo and Tetsuya Murai，Prof. of the 18th International Symposium on Advanced Intelligent Systems (ISIS2017)，(p.665 ～ 672)，KIIS，2017.10，Daegu

  7. Improvement of item-based collaborative filtering by adding time factor and covering degree

    Zhipeng Zhang, Yasuo Kudo, and Tetsuya Murai，Proc. of 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2016)，(p.543 ～ 547)，SOFT，2016.08，札幌市

  8. Modification of the covering-based collaborative filtering model to alleviate the new user cold-start problem

    Zhipeng Zhang, Yasuo Kudo, and Tetsuya Murai，Proc. of the 16th Int. Symposium on Advanced Intelligent Systems (ISIS 2015)，(p.1238 ～ 1249)，KIIS，2015.11，Mokpo

  9. On Representation Ability of Interrelated Attributes in Rough Set-based Interrelationship Mining

    Yasuo Kudo and Tetsuya Murai，Proc. of the 16th Int. Symposium on Advanced Intelligent Systems (ISIS 2015)，(p.1229 ～ 1237)，KIIS，2015.11，Mokpo

  10. Applying Covering-Based Rough Set Theory to User-Based Collaborative Filtering to Enhance the Quality of Recommendations

    Zhipeng Zhang, Yasuo Kudo, and Tetsuya Mura，Prof. of 4th Int. Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2015)，vol.LNAI 9376，(p.279 ～ 289)，Springer，2015.10，Nha Trang

  11. Some Properties of Interrelated Attributes in Relative Reducts for Interrelationship Mining

    Yasuo Kudo and Tetsuya Murai，Proceedings of Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2014)，(p.998 ～ 1001)，SOFT，2014.12，北九州

  12. Empty-Stringizing of the False Value in Crisp and Fuzzy Granular Hierarchical Structures

    Takehiro Tanaka , Tetsuya Murai , Yasuo Kudoy and Seiki Akama，Proceedings of Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2014)，(p.993 ～ 997)，SOFT，2014.12，北九州

  13. Da Costa Logics and Vagueness

    Seiki Akama, Tetsuya Murai, and Yasuo Kudo，2014 IEEE International Conference on Granular Computing (IEEE GrC2014)，(p.1 ～ 6)，IEEE，2014.10，登別

  14. Interrelationship Mining from a Viewpoint of Rough Sets on Two Universes

    Yasuo Kudo and Tetsuya Murai，2014 IEEE International Conference on Granular Computing (IEEE GrC2014)，(p.137 ～ 140)，IEEE，2014.10，登別

  15. Bi-superintuitionistic Logics for Rough Sets

    Seiki Akama, Tetsuya Murai, and Yasuo Kudo，2013 IEEE International Conference on Granular Computing (IEEE GrC2013)，(p.10 ～ 15)，IEEE，2013.12，Beijing

  16. Decision Logic for Rough Set-based Interrelationship Mining

    Yasuo Kudo and Tetsuya Murai，Proceeding of 2013 IEEE International Conference on Granular Computing (IEEE GrC2013)，(p.172 ～ 177)，IEEE，2013.12，Beijing

  17. Recommendation of a Cloud Service Item Based on Service Utilization Patterns in Jyaguchi

    Shree Krishna Shrestha, Yasuo Kudo, Bishnu Prasad Gautam, and Dipesh Shrestha，Knoledge and Systems Engineering，vol.AISC 245，(p.121 ～ 133)，Springer，2013.10，Hanoi

  18. On a Possibility of Applying Interrelationship Mining to Gene Expression Data Analysis

    Yasuo Kudo, Yoshifumi Okada, and Tetsuya Murai，Brain and Health Informatics，vol.LNAI 8211，(p.379 ～ 388)，Springer，2013.10，前橋

  19. Recommendation Method based on Rough Set for Sequential Data

    Daisuke Nagakubo, Yasuo Kudo, and Yoshifumi Okada，Proceedings of The International MultiConference of Engineers and Computer Science 2013 (IMECS2013)，(p.48 ～ 50)，IAENG，2013.03，Hong Kong

  20. Multidimensional Service Weight Sequence Mining based on Cloud Service Utilization in Jyaguchi

    Shree Krishna Shrestha, Yasuo Kudo, Bishnu Prasad Gautam, and Dipesh Shrestha，Proceedings of The International MultiConference of Engineers and Computer Science 2013 (IMECS2013)，(p.301 ～ 306)，IAENG，2013.03，Hong Kong

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