CFP

		   Submission Deadline 12 November
			      The Fifth
    Pacific-Asia Conference on Knowledge Discovery and Data Mining
			      (PAKDD-01)
                    Hong Kong, April 16 - 18, 2001

http://www.csis.hku.hk/pakdd01

  The Fifth Pacific-Asia Conference on Knowledge Discovery and Data
  Mining (PAKDD-01) will be an international forum for the sharing of
  original and innovative research results and practical applications
  and experiences among researchers and application developers from
  the many constituent areas of KDD, including artificial
  intelligence, databases, e-commerce, Internet computing, machine
  learning, high performance computing, statistics and
  visualization. This conference builds on the success of PAKDD-97
  (Singapore), PAKDD-98 (Australia), PAKDD-99 (China) and PAKDD-00
  (Japan) by bringing together participants from universities,
  industry and government.

  With the growing number of successful applications and systems
  development in KDD in enterprise computing and e-commerce the
  conference encourages submissions on practical experiences in
  applying KDD techniques to real-world applications.

KEYNOTE SPEAKERS

  Two keynote presentations from international leaders in Knowledge
  Discovery and Data Mining have been confirmed:

  Ronny Kohavi, Director of Data Mining, Blue Martini Software

  Ronny Kohavi is well known for his work on the Silicon Graphics
  MineSet project for data mining and visualization. He joined
  Silicon Graphics after getting a Ph.D. in Machine Learning from
  Stanford University, where he led the MLC++ project, the Machine
  Learning library in C++. Kohavi co-chaired the KDD 99 industrial
  track and KDD Cup 2000. He co-edited a special issue of the journal
  Machine Learning on Applications of Machine Learning and the special
  issue of the Data Mining and Knowledge Discovery journal on
  Applications of Data Mining to Electronic Commerce.

  Professor H. V. Jagadish, University of Michigan

  Professor Jagadish obtained his Ph.D. from Stanford and spent
  several years as head of the database department at AT&T. Prior to
  Michigan he was at the University of Illinois. His research spans
  many aspects of database systems, particularly in the context of the
  internet and XML.

SUBMISSION by 12 November 2000

  Conference proceedings will be published by Springer-Verlag (in the
  Lecture Notes in Artificial Intelligence series). All submissions
  should follow the Springer-Verlag guidelines and be no more than 12
  pages. (Formatting information is available from the conference web
site at http://www.csis.hku.hk/pakdd01).

  Please include a cover page containing the title, authors (names,
  postal and email addresses), a 200-word abstract and up to 5
  keywords.  Authors are invited to submit their papers electronically
  (as PostScript or PDF attachments) following the instructions on the
conference web page at http://www.csis.hku.hk/pakdd01 or send five
  copies to:

    David Cheung (PAKDD-01)
    E-Business Technology Institute
    The University of Hong Kong
    Pokfulam, Hong Kong

For details see the website above.
(Edited GPS).