==========================================================
International Workshop on Feature Selection in Data Mining (FSDM10)
21st of June 2010, Hyderabad, India
(In conjunction with PAKDD 2010)
http://jmlr.csail.mit.edu/proceedings/papers/v10/
==========================================================
Workshop on Feature Selection in Data Mining (FSDM 10)
jointly held at PAKDD 2010, Hyderabad, India, 20 June, 2010
Workshop website: http://featureselection.asu.edu/fsdm10/index.html
Proceeding: http://jmlr.csail.mit.edu/proceedings/papers/v10/
Feature selection is effective in data preprocessing and reduction, thus is an essential step in successful data mining applications. Feature selection has been a research topic with practical significance in many areas such as statistics, pattern recognition, machine learning, and data mining (including Web, text, image, and microarrays). The objectives of feature selection include: building simpler and more comprehensible models, improving data mining performance, and helping prepare, clean, and understand data. The Workshop on Feature Selection in Data Mining (FSDM) aims to further the cross-discipline, collaborative effort in feature (a.k.a. variable) selection research and application. This year, FSDM is held with the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010) in Hyderabad, India.
FSDM'10 consists of one keynote speech and 8 peer-reviewed papers, in which our papers are on developing new algorithms or improving existing algorithms of feature selection; two papers on designing effective feature selection algorithms for real-world problems; and three papers on exploring novel problems in feature selection research. Our proceeding for FSDM 2010 has been published by JMLR Workshop and Conference Proceedings, and is available online at: http://jmlr.csail.mit.edu/proceedings/papers/v10/. You can also find the schedule of the workshop on our workshop website at: http://featureselection.asu.edu/fsdm10/program.html.