Hidenao Abe, Ph.D

Assistant Professor of Department of Medical Informatics, Shimane University, School of Medicine

[ Biography | Publications | Contact ]

Biography

I received Bachelor of Informatics, Master of Informatics and Ph.D (Engineering) in 2000, 2002 and 2004 from Shizuoka University. I'm a assistant professor of Department of Medical Informatics, Shimane University, School of Medicine.

My main research interests includes Medical Data Mining, Meta Learning, Machine Learning and Feature Selection.

I'm a member of JSAI(Japanese Society for Artificial Intelligence), JAMI(Japan Association for Medical Informatics) and IEEE-CS.

Publications

[All on publications including past works]

2007

  1. 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.
  2. 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.
  3. 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.
  4. 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.

2006

  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, 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.

2005

  1. 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.
  2. 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.
  3. 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.
  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.

2004

  1. 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.

Contact to:

Department of Medical Informatics, Shimane University
89-1 Enya-cho Izumo Shimane, 693-8501, JAPAN
abe@med.shimane-u.ac.jp.NOSPAM
(C) 2005,2006 all right reserved, Hidenao Abe