Call for Papers

KDD-99: The ACM SIGKDD Fifth International Conference
on Knowledge Discovery and Data Mining

August 15-18, 1999, San Diego, CA, USA
    http://research.microsoft.com/datamine/kdd99/

    Sponsored by:
  Association for Computing Machinery (ACM) - SIGKDD
   Co-sponsored by:
   AAAI, ACM SIGMOD, and ACM SIGART

The continuing rapid growth of on-line data and the widespread use of
databases necessitate the development of techniques for extracting
useful knowledge and for facilitating database access. The challenge
of extracting knowledge from data is of common interest to several
fields, including statistics, databases, pattern recognition, machine
learning, data visualization, optimization, and high-performance
computing. KDD-99 will focus on techniques, applications, and
experiences, bringing together researchers and practitioners.

Starting this year, the KDD series will represent the annual
conferences of the newly formed SIGKDD--the ACM Special Interest Group
on Knowledge Discovery and Data Mining.

       --------
       Calendar
       --------

     Electronic abstracts due:  March 1, 1999
      Submissions due:  March 5, 1999

Notification of acceptance/rejection:  May 17, 1999
      Camera-ready copies due:  June 14, 1999


Submission Guidelines: Please see the KDD-99 web site for detailed
instructions (http://research.microsoft.com/datamine/KDD99).  All
submissions (including research papers, panels, demos, tutorials and
industrial track submissions) must be received by March 5, 1999.
Prospective authors are encouraged to submit research papers on any
topics of relevance to knowledge discovery and data mining.  In
addition to fundamental research, we solicit papers fostering
cross-fertilization and interdisciplinary integration, as well as
papers that describe significant experiences and implementation
lessons. Topics of interest include, but are not limited to:

KDD Techniques             Human Interaction and the KDD Process
--- ----------            ----- ----------- --- --- --- -------
New KDD algorithms         Data and knowledge visualization
Mining the Web             Evaluating knowledge and potential discoveries
Text/multimedia            Interactive exploration
Data cleaning/noisy data   Visualizing large, high-dimensional data
Incremental algorithms
High-dimensional data
Background knowledge                 Mining Enterprise Databases
                                      ------ ---------- ---------
Implementation and Applications      Scalable algorithms
-------------- --- ------------      Unification of mining with querying
Implementation & use of KDD systems  Database architectures for KDD
Vertical applications                Database primitives for KDD
Case studies: success/failure        Integration: mining/warehousing/OLAP
Benchmarks


KDD-99 Organization
--- -- ------------
Program Committee Co-Chairs: Surajit Chaudhuri ([log in to unmask])
                             David Madigan ([log in to unmask])

General Chair: Usama Fayyad ([log in to unmask])

Awards: G. Piatetsky-Shapiro ([log in to unmask])
Demos/Exhibits: Ismail Parsa ([log in to unmask])
Industrial/Applications Track: Jim Gray ([log in to unmask])
                               Ronny Kohavi ([log in to unmask])
Local Arrangements: Jenny Zhang ([log in to unmask])
Panels: Padhraic Smyth ([log in to unmask])
Proceedings: Kyuseok Shim ([log in to unmask])
Publicity: Foster Provost ([log in to unmask])
Sponsorship: Ramasamy Uthurusamy ([log in to unmask])
Tutorials: Jiawei Han ([log in to unmask])
Workshops: Rakesh Agrawal ([log in to unmask])




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