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Archive of publications

[ Papers | Conference/Wrokshop(Refereed) | Workshop/Symposium | Others ]

Refereed Papers

  1. Hidenao Abe and Takahira Yamaguchi: A Constructive Meta-Level Feature Selection Method based on Method Repositories, Journal of Computers, Vol. 1, No. 3, pp.20-26, 2006.
  2. Hidenao Abe, Miho Ohsaki, Hideto Yokoi, and Takahira Yamaguchi: Implementing an Integrated Time-Series Data Mining Environment Based on Temporal Pattern Extraction Methods: A Case Study of an Interferon Therapy Risk Mining for Chronic Hepatitis, New Frontiers in Artificial Intelligence: Join JSAI 2005 Workshop Post-Proceedings, Takashi Washio, Akito Sakurai, Katsuto Nakajima, Hideaki Takeda, Satoshi Tojo, Makoto Yokoo (Eds.), LNCS 4012, Springer, pp.425-435, 2006.
  3. Hidenao Abe and Takahira Yamaguchi: Evaluating the Automatic Composition of Inductive Applications Using StatLog Repository of Data Set, Active Mining --New Directions of Data Mining--, Hiroshi Motoda(Ed.), IOS Press, pp.139-150, 2002.
  4. Hidenao Abe and Takahira Yamaguchi: Constructing Inductive Applications by Meta-Learning with Method Repositories, Progress in Discovery Science, Setsuo Arikawa and Ayumi Shinohara(Eds.), LNAI 2281, Springer-Verlag, pp.576-585, 2002.
  5. Miho Ohsaki, Hideao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi: Evaluation of rule interestingness measures in medical knowledge discovery in databases, Artificial Intelligence in Medicine, Vol. 41, No. 3, pp.177-196, 2007.
  6. Miho Ohsaki, Hidenao Abe, Takahira Yamaguchi: Numerical Time-Series Pattern Extraction Based on Irregular Piecewise Aggregate Approximation and Gradient Specification, New Generation Computing, No. 25, pp.213-222, 2007.

Refereed International Conference/Workshop

  1. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Hideto Yokoi, and Takahira Yamaguchi: Evaluation of Learning Costs of Rule Evaluation Models based on Objective Indices to Predict Human Hypothesis Costruction Phases, The 2007 IEEE International Conference on Granular Computing (GrC2007), pp.458-464, Fremont, CA, USA, November 2007.
  2. Hidenao Abe, Hideto Yokoi, Miho Ohsaki, and Takahira Yamaguchi: Developing an Integrated Time-Series Data Mining Environment for Medical Data Mining, IEEE Workshop of Data Mining in Medicine In conjunction with IEEE International Conference on Data Mining 2007 (DMMed2007), pp.127-132, Omaha, NE, USA, October 2007.
  3. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, and Takahira Yamaguchi: Evaluating Learning Algorithms for a Rule Evaluation Support Method, The 2007 IEEE International Conference on Systems, Man and Cybernetics (SMC2007), pp.3784-3789, Montreal, Canada, October 2007.
  4. Hidenao Abe, Satoru Hirabayashi, Miho Ohsaki, and Takahira Yamaguchi: Evaluationg a Trading Rule Mining Method based on Temporal Pattern Extraction, The Third International Workshop on Mining Complex Data (MCD2007), LNAI 4944, pp.72-81, 2007.
  5. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, and Takahira Yamaguchi: Evaluating a Constructive Meta-Learning Algorithm for a Rule Evaluation Support Method Based on Objective Indices, The 11th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES2007), LNCS 4693, pp.934-941, Vietri sul Mare, Italy, September 2007.
  6. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi: Evaluating Learning Models with Transitions of Human Interests based on Objective Rule Evaluation Indices, The World Congress on Health (Medical) Informatics (Medinfo 2007), pp. 581-585, Brisbane, Australia, August 2007.
  7. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, and Takahira Yamaguchi: Evaluationg Learning Algorithms to Construct Rule Evaluation Models Based on Objective Rule Evaluation Indices, The 2007 IEEE International Conference on Cognitive Informatics (ICCI 2007), pp.212-221, Lake Tahoe, NV, USA, August 2007.
  8. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi: Evaluationg Learning Algorithm Selection Method for a Rule Evaluation Support Tool Based on Objective Indices, IADIS European Conference on Data Mining (ECDM2007), pp.25-32, Lisbon, Portgul, July 2007.
  9. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi: Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method, The second International Workshop on Mining Complex Data (MCD2006), pp.305-310, HongKong, China, 18th December 2006.
  10. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, and Takahira Yamaguchi: Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices, The 5th International Conference on Rough Sets and Current Trends in Computing (RSCTC2006), LNCS 4259, pp.687-695, Kobe, Japan, 8th November 2006.
  11. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, and Takahira Yamaguchi: Evaluating Learning Algorithms for a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices, The 16th Intenational Symposium on Methodologies for Intelligent Systems (ISMIS 2006), LNCS 4203, pp.379-388,University of Bari, Bari, Italy, 27th September 2006.
  12. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Hideto Yokoi, and Takahira Yamaguchi: Evaluating Learning Algorithms Composed by Constructive Meta-Learning Scheme for a Rule Evaluation Support Method Based on Objective Indices, The 2006 Pacific Rim Knowledge Acquisition Workshop (PKAW 2006), LNCS 4303, pp.75-88, Guilin Park Hotel, Guilin, China 7th August 2006.
  13. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, and Takahira Yamaguchi: Developing a Rule Evaluation Support Method Based on Objective Indices, The First International Conference on Rough Sets and Knowledge Technology, LNAI 4062, pp.456-461, Golden Resources Hotel, Chongqing, China, 25th July 2006.
  14. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, and Takahira Yamaguchi: Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices, The tenth Pacific-Asia Conference on Knoledge Discovery and Data Mining, LNAI3918, pp.509-519, Hilton Singapore, Singapore, 12th April 2006.
  15. Hidenao Abe and Takahira Yamaguchi: Constructive Meta-level Feature Selection Method Based on Method Repositories, in Proc. of the tenth Pacific-Asia Conference on Knoledge Discovery and Data Mining, LNAI 3918, pp.70-80, Hilton Singapore, Singapore, 11th April 2006.
  16. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, and Takahira Yamaguchi: Evaluating Model Construction Methods with Objective Rule Evaluation Indices to Support Human Experts, in Proc. of the third International Conference on Modeling Decisions for Artificial Intelligence, LNAI3885, pp.94-104, Rovira i Vergili University, Tarragona, Spain, 3rd April 2006.
  17. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, and Takahira Yamaguchi: A Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indexes, The Fifth International Conference on Data Mining (ICDM2005), pp.549-552, Intercontinental Hotel Houston, Houston, U.S.A, 30th November 2005.
  18. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, and Takahira Yamaguchi: Evaluating a Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indices -- A Case Study with a Meningitis Data Mining Result --, The Fifth International Conference on Hybrid Intelligent Systems (HIS 2005), pp.169-174, Pontificcal Catholic University of Rio de Janeiro: PUC-Rio, Rio de Janeiro, Brazil, 7th November 2005.
  19. Hidenao Abe, Miho Ohsaki, Hideto Yokoi and Takahira Yamaguchi: Evaluating an Integrated Time-Series Data Mining Environment - A Case Study on a Chronic Hepatitis Data Mining -, in Proc. of the First International Workshop on Risk Management Systems with Intelligent Data Analysis (RMDA2005), pp.1-11, Kita-Kyushu, Fukuoka, Japan, Jun. 2005.
  20. Hidenao Abe, and Takahira Yamaguchi: Constructive Meta-Learning with Machine Learning Method Repositories, Bob Orchard et al. (Eds.), in Proc. of the 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004, LNAI 3029, pp.502-511, Ottawa University, Ottawa, Canada, 18th May 2004.
  21. Hidenao Abe and Takahira Yamaguchi: Evaluating the Parallel Automatic Composition of Inductive Applications with Stacking Methods, in Proc. of the ECML/PKDD 2003 Workshop on Parallel and Distributed Computing for Machine Learning, Rui Camacho and Ashwin Srinivasan (Eds.), pp. 1-12, Hotel Croatia Cavtat, Cavtat - Dubrovnik, Croatia, 23rd Sep. 2003.
  22. Hidenao Abe and Takahira Yamaguchi: Evaluating the Automatic Composition of Inductive Applications Using StatLog Repository of Data Set, in Proc. of PKAW2002, pp.144-158, National Center of Sciences, Tokyo, Japan, 19th Aug. 2002.
  23. Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi: Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures, The second International Workshop on Reliability Issues of Knowledge Discovery, pp.759-764, HongKong, China, 18th December 2006.
  24. Mao Komori, Hidenao Abe and Takahira Yamaguchi: A New Feature Selection Method Based on Dynamic Incremental Extension of Seed Features, JCKBSE2002, in Proc. pp. 291-296, Maribor, Slovenia, 2002.
  25. Hiromitsu Hatazawa, Hidenao Abe, Mao Komori, Yoshiaki Tachibana and Takahira Yamaguchi: Knowledge Discovery Support from a Meningoencephalitis Dataset Using an Automatic Composition Tool for Inductive Applications, in Proc. of JSAI KDD Challenge 2001(JKDD2001), pp. 1-8, Shimane, Japan, 2002.

Unrefreed International Conference/Workshop/Symposium

  1. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, and Takahira Yamaguchi: Evaluation of Learning Algorithms to Construct Valid Rule Evaluation Models Based on Objective Indices, The second International Workshop on Chance Discovery and Data Mining in conjunction with Joint Conference on Information Science (JCIS2007), Salt Lake City, UT, USA, July 2007.
  2. Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Miho Ohsaki, and Takahira Yamaguchi:Evaluating Learning Costs to Predict Human Interests with Rule Evaluation Models based on Objective Indices, The 2nd International Conference on Complex Medical Engineering (CME2007), pp.1958-1970, Jingfeng Hotel, Beijing, China, 24th May 2007.
  3. Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, and Takahira Yamaguchi: Evaluating Learning Algorithms to Support Human Rule Evaluation Based on Objective Rule Evaluation Indices, CODATA2006 Workshop on Interdisciplinary Communication for Risk Management with Multi-Data Mining, pp.100-101, Beijing, China, 2006.
  4. Hidenao Abe and Takahira Yamaguchi: Implementing an Integrated Time-Series Data Mining Environment - A Case Study of Medical KDD on Chronic Hepatitis -, in Proc. of the First International Conference on Complex Medical Engineering (CME2005), Takamatsu, Kagawa, Japan, May 2005.
  5. Miho Ohsaki, Hidenao Abe, Shinya Kitaguchi, Shunji Kume, Hideto Yokoi, and Takahira Yamaguchi: Development and Evaluation of an Integrated Time-Series KDD Environment - A Case Study of Meducal KDD on Hepatitis -, in Proc. of the Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE_SIGAI on Active Mining, Hanoi, Vietnum, Dec. 2004.
  6. Hidenao Abe and Takahira Yamaguchi: Parallel Automatic Composition of Inductive Applications based on Method Repository, in Proc. of the 6th Sanken(I.S.I.R) International Symposium, pp. 55-56, Osaka University, Osaka, Japan, 11th Mar. 2003.
  7. Shunji Kume, Hidenao Abe and Takahira Yamaguchi: Discovering Loyal Customers from POS Data Sets Based on Feature Selection with Domain Models, in Proc. of 2nd International Conference on Global Research and Education (Inter Academia 2003), pp. 291-298, Warsaw University of Technology, Warsaw, Poland, 9th Sep. 2003.
  8. Mao Komori, Hidenao Abe and Takahira Yamaguchi: Combining Filter Method and Seed Method fo New Feature Selection in Data Mining, in Proc. of 1st International Conference on Global Research and Education (Inter Academia 2002), pp. 119-122, Comenius University, Bratislava, Slovakia, 26th Sep. 2002.
  9. Hidenao Abe and Takahira Yamaguchi: Evaluating the Automatic Composition of Inductive Applications Using StatLog Repository of Data Set, in Proc. of 1st International Conference on Global Research and Education (Inter Academia 2002), pp. 80-83, Comenius University, Bratislava, Slovakia, 26th Sep. 2002.

Others

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