教員紹介

呉原 志賢

教授 Professor

呉原 志賢 (KUREHARA,Yukitaka)
最終出身学校・学位 大阪府立大学大学院 工学研究科
博士(工学)
主な担当科目 情報リテラシーⅠ、情報リテラシーⅡ、基礎演習A、基礎演習B、専門演習ⅠA、専門演習ⅠB、経営情報特論Ⅰ、経営情報特論Ⅱ
専門分野
(現在の研究課題)
経営工学、経営情報、情報管理、情報処理
(潜在的な嗜好に基づくユーザ誘導とコンテンツ流通システムの安定化に関する研究開発)
キーワード データ解析、人工知能、多変量解析、マルチエージェント

詳細情報&メッセージ

主要著作・論文 <論文・書評等>
1.Partially Exclusive Item Partition in MMMs-Induced Fuzzy Co-Clustering and its Effects in Collaborative Filtering, K. Honda, T. Nakano, C.-H. Oh, S. Ubukata and A. Notsu, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.19 No.6, pp.810-817, Dec. 2015
2.Dual Exclusive Partition in Fuzzy CoDoK and SCAD-based Fuzzy Co-clustering, C.-H. Oh and K. Honda, Procedia Computer Science, Edited by Junzo Watada, Lakhmi C. Jain, Robert J. Howlett, Naoto Mukai and Koichi Asakura, Volume 22, pp.800-809, Oct. 2013
3.Exclusive Partition in FCM-type Co-clustering and Its Application to Collaborative Filtering, K. Honda, C.-H. Oh, Y. Matsumoto, A. Notsu, H. Ichihashi, International Journal of Computer Science and Network Security, Vol. 12, No. 12, pp.52-58, Dec. 2012
4.An Empirical Study on the Influence of Personalized Recommendation for Internet Users, C.-H. Oh, K. Honda, A. Notsu and H. Ichihashi, International Journal of Computer Science and Network Security, Vol. 10, No. 11, pp.1-5, Nov. 2010
5.A Fuzzy Model-based Virtual Theme Park Simulator and Evaluation of Agent Action Models, C.-H. Oh, K. Honda and H. Ichihashi, International Journal of Computer Science and Network Security, Vol. 10, No. 2, pp.6-11, Feb. 2010
6.Quantification of Multivariate Categorical Data Considering Typicality of Item, C.-H. Oh, K. Honda and H. Ichihashi, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.11 No.1, pp.35-39, Jan. 2007
7.Quantification of Multivariate Categorical Data Considering Clusters of Items and Individuals, C.-H. Oh, K. Honda and H. Ichihashi, Modeling Decisions for Artificial Intelligence, Lecture Notes in Artificial Intelligence 3558, ed. by V. Torra, Y. Narukawa and S. Miyamoto, Springer, Berlin, pp.164-171, Jul. 2005
8.Missing Value Estimation by Local Minor Components, C.-H. Oh, K. Honda and H. Ichihashi, Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, ed. by E. Damiani, R. J. Howlett, L. C. Jain and N. Ichalkaranje, IOS Press, Amsterdam, pp.235-239, Sept. 2002
9.Knowledge Discovery from by Local Principal Components Independent of Arbitrary Factors, C.-H. Oh, K. Honda, H. Ichihashi, Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies Part 1, ed. by N. Baba, L. C. Jain and R. J. Howlett, IOS Press, Amsterdam, pp.17-21, Sept. 2001
10.Competition between Strategies for a Market Selection Game, H. Ishibuchi, C.-H. Oh, T. Nakashima, COMPLEXITY INTERNATIONAL, On-line Journal: http://www.csu.edu.au/ci/, Vol.6, Jan. 1999

<学会報告・学術講演等>
1.Exclusive Condition on Item Partition in Fuzzy Co-clustering Based on K-L Information Regularization, K. Honda, C.-H. Oh and A. Notsu, Proc. of Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems, Dec.2014, Fukuoka, Japan
2.Handling Very Large Cooccurrence Matrices in Fuzzy Co-clustering by Sampling Approaches, K. Honda, A. Notsu, C.-H. Oh, Proc. of 14th International Symposium on Advanced Intelligent Systems, Nov. 2013, Daejeon, Korean
3.Dual Exclusive Partition in Fuzzy CoDoK and SCAD-based Fuzzy Co-clustering, C.-H Oh and K. Honda, 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems - KES2013, Volume 22, pp.800-809, Oct. 2013, Fukuoka, Japan
4.FCM-type Co-clustering with Exclusive Partition of Selected Items and Application to Collaborative Filtering, K. Honda, C.-H. Oh, A. Notsu and H. Ichihashi, Proc. 6th International Conference on Soft Computing and Intelligent Systems and 13th International Symposium on Advanced Intelligent Systems, pp.1327-1330, Nov. 2012, Kobe, Japan
5.A Fuzzy Model-based Community Simulator:COM-FUZZ, C.-H. Oh, K. Honda, A. Notsu and H. Ichihashi, Proc. of 12th International Symposium on advanced Intelligent Systems, pp.101-103, Sept. 2011, Suwon, Korea
6.A Study on Effect of User Preference Variety in Virtual Theme Park Simulation, C.-H. Oh, K. Honda, T. Yamamoto and H. Ichihashi, Proc. of World Automation Congress 2010, #175, pp.1-5, Sep. 2010, Kobe, Japan
7.Cluster Validation in k-Means Clustering Based on PCA-guided k-Means and Procrustean Transformation of PC Scores, T. Matsui, K. Honda, C. -H. Oh, A. Notsu, and H. Ichihashi, Proc. of 2009 IEEE International Conference on Fuzzy Systems, pp.1546-1550, Aug. 2009, Jeju, Korea
8.A Fuzzy Model-based Community Simulator for Behavior Analysis in Virtual Theme Park, C.-H. Oh, K. Honda and H. Ichihashi, Proc. of 2009 IEEE International Conference on Fuzzy Systems, pp.1557-1562, Aug. 2009, Jeju, Korea
9.Variations of Fuzzy Clustering for Cooccurrence Matrix and Their Application to Text Analysis, C.-H. Oh, K. Honda, H. Ichihashi, Proc. of Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems, pp.947-950, Sept. 2008, Nagoya, Japan
10.Graded Possibilistic Approach to Fuzzy Clustering for Cooccurrence Matrix with Regularization by K-L Information, C.-H. Oh, K. Honda, H. Ichihashi, Proc. of 8th International Symposium on Advanced Intelligent Systems, pp.330-333, Sept. 2007, Sokcho, Korea
11.Local Quantification of Multivariate Categorical Data Using Graded Possibilistic Approach, C.-H. Oh, K. Honda, H. Ichihashi, Proc. of 6th International Symposium on Advanced Intelligent Systems, pp.476-479, Sept. 2005, Yosu, Korea
12.Nonlinear Discriminant Analysis of Categorical Data by Fuzzy c-Means Fixed Point Iteration, H. Ichihashi, R. Niiyama, K. Honda and C.-H. Oh, Proc. of SCIS & ISIS 2002, #24B4-1, Oct. 2002, Tsukuba, Japan
13.Fuzzy Clustering for Categorical Multivariate Data, C.-H. Oh, K. Honda, H. Ichihashi, Proc. of Joint 9th IFSA World Congress and 20th NAFIPS International Conference, pp.2154-2159, Jul. 2001, Vancouver, Canada
14.Switching Linear Discriminant Using Fuzzy Cluster, C.-H. Oh, M. Osako, K. Honda, H. Ichihashi Proc. of 6th International Conference on Soft Computing, pp.843-848, Oct. 2000, Iizuka, Japan
15.Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables, C.-H. Oh, H. Komatsu, K. Honda, H. Ichihashi, Proc. of The IEEE-INNS-ENNS International Joint Conference on Neural Networks, Paper#41_01, Jul. 2000, Como, Italy
16.Parameter Specification for Fuzzy Clustering by Q-Learning, C.-H. Oh, E. Ikeda, K. Honda, H. Ichihashi, Proc. of The IEEE-INNS-ENNS International Joint Conference on Neural Networks, Paper#53_02, Jul. 2000, Como, Italy
17.Approximate Realization of Fuzzy Mappings by Regression Models, Neural Networks and Rule-Based Systems, H. Ishibuchi, M. Nii, C.-H. Oh, Proc. of 1999 IEEE International Conference on Fuzzy Systems, pp.939-944, Aug. 1999, Seoul, Korea
18.Designing a Decision Making System for a Market-Selection Game, H. Ishibuchi, C.-H. Oh, T. Nakashima, Computing in Economics and Finance '99, CD-ROM, Jun. 1999, Boston, U.S.A.
19.Competition between Strategies for a Market Selection Game, H. Ishibuchi, C.-H. Oh, T. Nakashima, Proc. of Complex Systems'98, pp.272-281, Nov. 1998, Sydney, Australia
20.Strategies for a Market Selection Game, H. Ishibuchi, C.-H. Oh, T. Nakashima, Proc. of The Second Asia-Pacific Conference on Simulated Evolution And Learning, Vol.2, Posters, Nov. 1998, Canberra, Australia
21.Performance Evaluation of Fuzzy Rule-Based Q-Learning, C.-H. Oh, T. Nakashima, H. Ishibuchi, Proc. of the 5th International Conference on Soft Computing and Information/Intelligent Systems, pp.195-198, Oct. 1998, Iizuka, Japan
22.Initialization of Q-Values by Fuzzy Rules for Accelerating Q-Learning, C.-H. Oh, T. Nakashima, H. Ishibuchi, Proc. of 1998 IEEE International Joint Conference on Neural Networks, pp.2051-2056 May, 1998, Alaska, U.S.A.
23.Fuzzy Q-Learning for a Multi-Player Non Cooperative Repeated Game,H. Ishibuchi, T. Nakashima, H. Miyamoto, C.-H. Oh, Proc. of 1997 IEEE International Conference on Fuzzy Systems, pp.1573-1579, Jul. 1997, Barcelona, Spain
24.Improving the Performance of Q-Learning by Fuzzy Logic, H. Ishibuchi, C.-H. Oh, T. Nakashima, Proc. of International Symposium on Artificial Life and Robotics, pp.50-53 ,Feb. 1997, Beppu, Japan
所属学会 IEEE、日本知能情報ファジィ学会
趣味 スポ-ツ観戦
教育・研究について 現在、潜在的な嗜好に基づくユーザ誘導とコンテンツ流通システムの安定化に関する研究開発を行っています。これらの研究を、出来るだけわかりやすく学生に伝えていきたいと思います。
受験生にひとこと 大学入試を受ける段階で本当に大学でやりたいことを見つけるのは難しいでしょう。しかし、どんなことがしたいかという、ある程度のビジョンは持つようにしましょう。
フリーメッセージ 自分が熱中できることを常に探し続けることは、大切なことです。そういった姿勢を持ち、いろんなことにチャレンジする気持ちを持つように心がけたいと思っています。そう考えると、大学時代は少し漫然と過ごしていたかもしれません。大学に入ったら、充実した4年間だったと思えるように、いろんなことに挑戦してください。


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