New Journal -- Data Mining and Knowledge Discovery

[Data Mining Journal]

please post the following annoucement to your group,

Thanks,
Usama
  ________________________________________________________________
   Usama Fayyad                        |  Fayyad at aig.jpl.nasa.gov
   Machine Learning Systems Group      |
   Jet Propulsion Lab  M/S 525-3660    |  (818) 306-6197 office
   California Institute of Technology  |  (818) 306-6912 FAX  
   4800 Oak Grove Drive                |
   Pasadena, CA 91109                  |http://www-aig.jpl.nasa.gov/
  _____________________________________|__________________________



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		New Journal Announcement:

             Data Mining and Knowledge Discovery
                   an international journal

       http://www.research.microsoft.com/research/datamine/

           Published by Kluwer Academic Publishers

 		C a l l   f o r   P a p e r s
****************************************************************

Advances in data gathering, storage, and distribution technologies have far
outpaced computational advances in techniques for analyzing and understanding
data.  This created an urgent need for a new generation of tools and
techniques for automated Data Mining and Knowledge Discovery in Databases
(KDD).  KDD is a broad area that integrates methods from several fields
including statistics, databases, AI, machine learning, pattern recognition,
machine discovery, uncertainty modeling, data visualization, high performance 
computing, management information systems (MIS), and knowledge-based systems.

KDD refers to a multi-step process that can be highly interactive and
iterative.  It includes data selection/sampling, preprocessing and
transformation for subsequent steps.  Data mining algorithms are then used
to discover patterns, clusters and models from data.  These patterns and
hypotheses are then rendered in operational forms that are easy for people
to visualize and understand.  Data mining is a step in the overall KDD
process.  However, most published work has focused solely on
(semi-)automated data mining methods.  By including data mining explicitly
in the name of the journal, we hope to emphasize its role, and build bridges
to communities working solely on data mining.

Our goal is to make Data Mining and Knowledge Discovery a flagship journal
publication in the KDD area, providing a unified forum for the KDD research
community, whose publications are currently scattered among many different
journals.  The journal will publish state-of-the-art papers in both the
research and practice of KDD, surveys of important techniques from related
fields, and application papers of general interest. In addition, there will
be a pragmatic section including short application reports (1-3 pages), book
and system reviews, and relevant product announcements.

Please visit the journal's WWW homepage at:
        http://www.research.microsoft.com/research/datamine/
to obtain further information, including:
         - A list of topics of interest, 
         - full call for papers,
         - instructions for submission, 
         - contact information, subscription information, and
         - ordering a free sample issue.

Editors-in-Chief:    Usama M. Fayyad
================     Jet Propulsion Laboratory,
                     California Institute of Technology, USA

                     Heikki Mannila
                     University of Helsinki, Finland

                     Gregory Piatetsky-Shapiro
                     GTE Laboratories, USA
                     
Editorial Board:
===============
	Rakesh Agrawal 		  (IBM Almaden Research Center, USA)
        Tej Anand                 (AT&T Global Information Solutions, USA)
        Ron Brachman              (AT&T Bell Laboratories, USA)
        Wray Buntine              (Thinkbank Inc, USA)
        Peter Cheeseman           (NASA AMES Research Center, USA)
        Greg Cooper               (University of Pittsburgh, USA)
	Bruce Croft 		  (University of Mass. Amherst, USA)
        Dan Druker                (Arbor Software, USA)
        Saso Dzeroski             (Jozef Stefan Institute, Slovenia)
	Oren Etzioni		  (University of Washington, USA)
        Jerome Friedman           (Stanford University, USA)
        Brian Gaines              (University of Calgary, Canada)
        Clark Glymour             (Carnegie-Mellon University, USA) 
        Jim Gray                  (Microsoft Research, USA)
        Georges Grinstein         (University of Lowell, USA)
        Jiawei Han                (Simon Fraser University, Canada)
        David Hand                (Open University, UK)
        Trevor Hastie             (Stanford University, USA)
        David Heckerman           (Microsoft Research, USA)
        Se June Hong              (IBM T.J. Watson Research Center, USA)
        Thomasz Imielinski        (Rutgers University, USA)
        Larry Jackel              (AT&T Bell Labs, USA)
	Larry Kerschberg	  (George Mason University, USA)
        Willi Kloesgen            (GMD, Germany)
        Yves Kodratoff            (Lab. de Recherche Informatique, France)
	Pat Langley		  (ISLE/Stanford University, USA)
	Tsau Lin		  (San Jose State University, USA)
        David Madigan             (University of Washington, USA)
        Ami Motro                 (George Mason University, USA)
	Shojiro Nishio		  (Osaka University, Japan)
        Judea Pearl               (University of California, Los Angeles, USA)
        Ed Pednault               (AT&T Bell Laboratories, USA)
        Daryl Pregibon            (AT&T Bell Laboratories, USA)
        J. Ross Quinlan           (University of Sydney, Australia)
        Jude Shavlik              (University of Wisconsin - Madison, USA)
        Arno Siebes               (CWI, Netherlands)
        Evangelos Simoudis        (IBM Almaden Research Center, USA)
        Andrzej Skowron           (University of Warsaw, Poland)
        Padhraic Smyth            (Jet Propulsion Laboratory, USA)
	Salvatore Stolfo	  (Columbia University, USA)
        Alex Tuzhilin             (NYU Stern School, USA)
        Ramasamy Uthurusamy       (General Motors Research Laboratories, USA)
	Vladimir Vapnik		  (AT&T Bell Labs, USA)
	Ronald Yager 		  (Iona College, USA)
        Xindong Wu                (Monash University, Australia)
        Wojciech Ziarko           (University of Regina, Canada)
        Jan Zytkow                (Wichita State University, USA)


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