Workshop on New Challenges for Feature Selection in
Data Mining and Knowledge Discovery

FSDM 08

Antwerp (Belgium) September 15, 2008


http://bioinformatics.psb.ugent.be/fsdm2008

The Workshop on new challenges for feature selection in data
mining and knowledge discovery (FSDM2008) serves as a forum
for researchers in the fields of statistics, pattern
recognition, machine learning, and data mining to exchange
ideas and present recent work. FSDM 2008 will be organised
jointly by Ghent University, The University of the Basque
Country, the University of Li?ge and Arizona State University,
in collaboration with the European Conference on Machine
Learning and Principles and Practice of Knowledge Discovery
in Databases (ECML-PKDD 2008).

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Workshop Scope
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The workshop invites papers relevant to research in feature
selection in the broad sense, and especially welcomes
contributions that highlight emerging feature selection
challenges associated with new mining tasks.

Possible paper topics include, but are not limited to:

Dimensionality reduction Feature weighting
Feature ranking Subset selection
Feature extraction/construction Feature selection methodology
Integration with data mining algorithms Ensemble methods
Novel data structures Selection in small sample domains
Data streams and time series Feature selection bias and variance

Feature selection for labeled and unlabeled data
Modeling variable and feature selection
Selection in extremely high-dimensional domains
Novel univariate and multivariate metrics for feature selection
Pitfalls and learned lessons in feature selection studies
Real-world case studies and applications that highlight the role of
feature selection
Cross-discipline comparative studies (different types of bio-data, text,
Web, ...)

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Key Dates
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Paper Submission deadline: June 16th
Author Notification: July 16th
Final version of papers: July 31st
Workshop: September 15th

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Workshop Format
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The workshop will feature a full day program at the ECML-PKDD
conference. A keynote lecture will be given by a renowned speaker,
and contributions from accepted papers will be invited for
presentation.

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Paper submission
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Papers must be in English and must be formatted according to
the Springer-Verlag Lecture Notes in Artificial Intelligence
guidelines. Authors instructions and style files can be
downloaded at http://www.springer.de/comp/lncs/authors.html.
We recommend a maximum length of * 12 pages* in this
format, including figures, title pages, references, and
appendices.

We also welcome (shorter) papers presenting new ideas or
thought-provoking issues.

In addition to being published in the workshop proceedings,
revised versions of accepted papers will be most likely
published as a special issue in an international book series.

Papers should be submitted as PDF files using the submission site

http://www.easychair.org/conferences/?conf=fsdm08

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Organization
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Yvan Saeys (Ghent University)
Huan Liu (Arizona State University)
I?aki Inza (University of the Basque Country)
Louis Wehenkel (University of Li?ge)
Yves Van de Peer (Ghent University)