-------- Original-Nachricht -------- Betreff: [computational.science] CFP: FSDM'8 on New Challenges for Feature Selection Datum: Tue, 22 Apr 2008 08:38:46 -0700 Von: Huan Liu huanliu@asu.edu Organisation: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com

[First Call for Papers]

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 Liège 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).

============================================================ Workshop Scope ============================================================

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, ...)

============================================================ Key Dates ============================================================

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

============================================================ Workshop Format ============================================================

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.

============================================================ Paper submission ============================================================

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

============================================================ Organization ============================================================

Yvan Saeys (Ghent University) Huan Liu (Arizona State University) Iñaki Inza (University of the Basque Country) Louis Wehenkel (University of Liège) Yves Van de Peer (Ghent University)