Novel Challenges for Feature Selection (FSDM'08)

Autor: Krzysztof Hübner <hubner_at_iod.krakow.pl>
Data: Mon 19 May 2008 - 08:00:13 MET DST
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                      [Second Call for Papers]

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

               FSDM 08 to held with ECML-PKDD'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 Ličge 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)
  Ińaki Inza (University of the Basque Country)
  Louis Wehenkel (University of Ličge)
  Yves Van de Peer (Ghent University)
Received on Mon May 19 08:01:34 2008

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