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- 本人発表
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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.(査読付き)
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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.(査読付き)
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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.(査読付き)
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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. (査読付き)
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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. (査読付き)
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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. (査読付き)
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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. (査読付き)
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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. (査読付き)
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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. (査読付き)
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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. (査読付き)
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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. (査読付き)
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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.(査読無し)
Presentation
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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, LNCS 4303, pp.75-88, Guilin Park Hotel, Guilin, China 7th August 2006.(査読付き)
Paper,
Presentation
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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. (査読付き)
Paper,
Presentation
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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. (査読付き)
Paper,
Presentation
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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,
LNAI3918, pp.70-80, Hilton Singapore, Singapore, 11th
April 2006. (査読付き)
Paper,
Presentation
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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. (査読付き)
Paper,
Presentation
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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. (査読付き)
Paper,
Presentation
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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 (HIS2005), pp.169-174, Pontificcal
Catholic University of Rio de Janeiro: PUC-Rio, Rio de
Janeiro, Brazil, 7th November 2005. (査読付き)
Paper,
Presentation
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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. (査読付き)
Paper,
Presentation
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Hidenao Abe and Takahira Yamaguchi: Implementing an
Integrated Time-Series Data Mining Environment - A Case
Study of Medical KDD on Chronic Hepatitis -, The First
International Conference on Complex Medical Engineering
(CME2005), Takamatsu, Kagawa, Japan, May 2005.
Paper,
Presentation
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Hidenao Abe and Takahira Yamaguchi: Constructive
Meta-Learning with Machine Learning Method Repositories,
in Proc. of the 17th International Conference on
Industrial and Engineering Applications of Artificial
Intelligence and Expert Systems, Innovations in Applied
Artificial Intelligence, Bob Orchard et al. (Eds.), LNAI
3029, pp. 502-511, Ottawa University, Ottawa, Canada,
18th May 2004. (査読付き)
Presentation
- 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. (査読付き)
Paper,
Presentation
- 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.
- 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.
- 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. (査読付き)
- 共著者発表
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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. (査読付き)
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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.
- 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.
- 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.
- 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. (査読付き)
- 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. (査読付き)
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