Data Mining (DM)

Session at the
15th International Conference on
Applications of Declarative Programming
and Knowledge Management (INAdP 2004)
March 4-6, 2004, Berlin, Germany
http://inap.dialogengines.com

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 at INAdP 2004 (Knowledge Management track) will focus on data mining techniques, tools, and applications that involve a declarative programming or rule-based formalism, for example association rule mining and rule induction machine learning techniques. Selected papers from the session will be eligible for possible 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

Formatting 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 January 6, 2004.
Papers should be submitted in Springer LNCS format. Authors' instructions along with LaTeX and Word macro files are available on the web at Springeronline.com.
Submissions must include the title, authors' names, affiliations, addresses, and e-mail. Use the submission form available on the INAdP 2004 site at

http://inap.dialogengines.com/Submission/

Please 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.

Organizers

Sergio A. Alvarez (Boston College, USA) [contact]
Carolina Ruiz (WPI, USA) [contact]
Submissions will be refereed by at least two members of the program committee. For more information about the special track please contact one of the organizers.

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)