Call for Papers: Data Mining session at INAdP2004

CALL FOR PAPERS

Data Mining Session
15th International Conference on Applications of 
Declarative Programming and Knowledge Management 
(INAdP 2004)
March 4-6, 2004, Berlin, Germany

http://cs.bc.edu/~alvarez/INADP2004


Scope

Data mining comprises the design and analysis of efficient algorithms
for the extraction of patterns from large data sets. This field is
very active and is rapidly maturing. Data mining has had an impact on
scientific discovery, as well as in various industrial and commercial
domains. Examples include bioinformatics, security, and electronic
commerce. The Data Mining session in the Knowledge Management track
at INAdP 2004 will focus on data mining techniques, tools, and
applications that involve a declarative programming or rule-based
formalism, for example association rule mining, rule induction
machine learning techniques, and inductive logic programming.
Selected papers from the session will be considered for inclusion
in a post-conference volume in the Springer LNAI series, after
undergoing a second round of reviews.

Topics of interest include, but are not limited to:

Rule mining techniques
        association rules
        inductive logic programming
        probabilistic rule-based systems
        rule induction
        temporal and sequential data

Applications
        bioinformatics and scientific discovery
        applications in industry
        descriptions of deployed systems

Other
        performance evaluation
        visualization of rule-based systems
        comparison of rule-based and other approaches


Important Dates

        Deadline for Submission: November 23, 2003
        Notification of Authors: December 22, 2003
        Final Versions of Papers: January 19, 2004
        Conference: March 4-6, 2004


Submission Instructions

Authors are invited to submit an extended abstract (no longer than
10 pages including figures and references) or a system description
(no longer than 3 pages) in postscript/pdf format (11pt) before
November 23, 2003. Papers should be submitted in Springer LNCS
format. Authors' instructions along with LaTeX and Word macro files
are available on the web at

        http://www.springer.de/comp/lncs/authors.html

Submissions must include the title, authors' names, affiliations,
and postal and e-mail addresses. Please use the submission form
on the INAdP 2004 site at

        http://inap.dialogengines.com

Include a comment indicating your preference for the Data Mining
session of the conference. It is planned to publish all accepted
papers in a technical report, and to publish selected papers in a
post-conference volume in the Springer Lecture Notes in Artificial
Intelligence (LNAI) series. Submissions will be refereed by at least
two members of the program committee. For more information about the
Data Mining session please contact one of the organizers.


Organizers

Sergio A. Alvarez (Boston College, USA),        
alvarez-1smOPKgsis2HXe+LvDLADg@xxxxxxxxxxxxxxxx
Carolina Ruiz (WPI, USA),                       
ruiz-kCM0ysTr5uA3uPMLIKxrzw@xxxxxxxxxxxxxxxx


Program Committee (INAdP 2004)

Dietmar Seipel (Univ. of Wuerzburg, Germany, chair)
Sergio A. Alvarez (Boston College, USA)
Roman Bartak (Charles University, Prague, Czech Republic)
Oskar Bartenstein (IF Computer Japan, Japan)
Joachim Baumeister (Univ. of Wuerzburg, Germany)
Mehmet Dincbas (COSYTEC, France)
Robin Drogemuller (CSIRO, Australia)
Shuichi Fukuda (Tokyo Metropolitan Inst. of Technology, Japan)
Rita Gavriloaie (Learning Lab, Web Cooperation, Germany)
Ulrich Geske (Fraunhofer FIRST, Germany)
Geun-Sik Jo (Inha Univ., Korea)
Steve Prestwich (4C/UCC, Ireland
Georg Ringwelski (4C/UCC, Ireland)
Carolina Ruiz (WPI, USA)
Torsten Schaub (Univ. of Potsdam, Germany)
Paul Tarau (Binnet Corp, USA)
Armin Wolf (Fraunhofer FIRST, Germany)
Akihiro Yamamoto (Kyoto Univ., Japan)
Osamu Yoshie (Waseda Univ., Japan)

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