Special session on feature selection and extraction in bioinformatics of OSB2007

Special Session on Feature Selection & Exaction in Bioinformatics

数据挖掘研究院

http://cs.shu.edu.cn/gzli/pub/osb07.htm

Organizer:

E-mail: gzli@shu.edu.cn  

数据挖掘研究院

Homepage: http://cs.shu.edu.cn/gzli

  数据挖掘研究院

Meng Wang, Ph.D.
Research Associate, Dana-Farber cancer Institute, D709,  Harvard Medical School
Harvard University, 44, Binney, Street Boston, MA02115, USA
Fax: 617-632-5417 数据挖掘研究院

E-mail: Meng_Wang2@dfci.harvard.edu

  数据挖掘研究院

Feature Selection and extraction are special optimization techniques, which will help to remove noisy features and reduce the dimensionality of biological data sets, they have been studied widely especially in micro-array analysis because the high dimensionality of micro-array data sets hurts generalization ability of machine learning methods. Research in mathematics, statistics, computer science, engineering and bioinformatics confront similar issues in feature selection and extraction, and we see a pressing need for and benefits in the interdisciplinary exchange and discussion of ideas. We anticipate that our collaborations will shed light on research directions and provide the stimulus for creative breakthroughs. 数据挖掘研究院

This special session will bring together researchers from different disciplines and encourage collaborative research in feature selection and extraction. Dimensionality reduction including feature selection and extraction is an essential step in successful bioinformatics applications; it has practical significance in many areas such as bioinformatics, statistics, pattern recognition, machine learning, and data mining. The objectives of feature selection and extraction include: building simpler and more comprehensible models, improving biomedical data mining performance, and helping to prepare, clean, and understand data. 数据挖掘实验室

Original research papers are solicited in the theory behind feature selection and extraction as well as novel applications in bioinformatics, additional session topics include the following, including but not limited to the following topics. 数据挖掘研究院

·         Dimensionality reduction 数据挖掘实验室

·         Feature ranking 数据挖掘研究院

·         Subset selection 数据挖掘研究院

·         Feature extraction

·         Feature construction 数据挖掘实验室

·         Selection for labeled and unlabeled data 数据挖掘研究院

·         Modeling variable and feature selection

·         Goodness measures and evaluation

·         Selection bias 数据挖掘实验室

·         Selection with small samples 数据挖掘研究院

·         Cross-discipline comparative studies

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·         Integration with data mining algorithms 数据挖掘研究院

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Manuscripts should be submitted via the submission system of OSB07, which will be blindly reviewed by at least two reviewers, accepted papers will be published in Lecture Notes in Operations Research (LNOR) by Springer on the conference, and selected papers will be invited to publish in a special issue on feature selection and extraction of Journal of Computational Intelligence in bioinformatics after this conference. 数据挖掘研究院

Important Dates

·         Paper submission deadline            April 15, 2007 数据挖掘研究院

·         Acceptance notification                 May 31, 2007 数据挖掘研究院

·         Early registration deadline            June 15, 2007 数据挖掘实验室

·         Final paper submission deadline   June 15, 2007 数据挖掘研究院

·         Symposium                                    August 7-9, 2007

数据挖掘研究院