Meetings

Pacific-Asia Conference on Knowledge Discovery and Data Mining
Visit the PAKDD-01 Home Page:

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

Early Bird Registration Due March 16:

	http://www.csis.hku.hk/pakdd01/page-registration.htm

There are several international fairs, exhibitions, and conferences
(some related to PAKDD, including DASFAA and IFIP DS-9) in Hong Kong
during the month of April 2001. Reserve your accommodation soon:

http://www.csis.hku.hk/pakdd01/page-hotel.htm

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CONFERENCE BACKGROUND, THEMES AND TARGET AUDIENCE:

  PAKDD 2001, Hong Kong, 16--18 April, is the Fifth Pacific-Asia
  Conference on Knowledge Discovery and Data Mining.  It is the successor
  of earlier PAKDD conferences held in Singapore (1997), Melbourne,
  Australia (1998), Beijing, China (1999), and Kyoto, Japan (2000).

  PAKDD 2001 will be an international forum for the sharing of original
  research results and practical development experiences. Practitioners
  and researchers alike will benefit from the technical program and
  scholarly exchange.

KEYNOTE PRESENTATIONS

  Incompleteness in Data Mining

  Professor H. V. Jagadish, a world leading researcher in data mining
  from the University of Michigan thinks that the current data mining
  techniques, with carefully engineered algorithms, are extremely
  expensive. Since the central goal of data mining is to find SOME
  interesting patterns, he will argue that it is not necessary to find
  ALL of them -- is incompleteness the right answer ?

  Mining E-commerce Data: The Good, the Bad, and the Ugly

  Dr. Ronny Kohavi, Director of Data Mining at Blue Martini Software,
  is an industrial leader in Data Mining software. He will talk about
  the lessons, stories, and challenges of data mining based on mining
  real data. According to Ronny e-commerce provides all the right
  ingredients for data mining (the Good). So, what are the Bad and the
  Ugly ?

  Seamless Integration of Data Mining with DBMS and Applications

  Professor Hongjun Lu of The Hong Kong University of Science and
  Technology, an internationally renowned researcher in data mining,
  will argue that most data mining algorithms can only be loosely
  coupled with data infrastructures in organizations and are difficult
  to infuse into existing mission-critical applications. He will
  propose to tackle the problem of integration of data mining
  with DBMS and applications from three directions.

TECHNICAL PRESENTATIONS:

  The technical program features 38 regular presentations and 22 short
  presentations. Topics include: Web and Text Mining; Sequence, Spatial
  and Temporal Mining; Applications and Tools; and more.

  For a complete list of papers visit:

http://www.csis.hku.hk/pakdd01/page-program.htm

INDUSTRIAL TRACK PRESENTATIONS:

  PAKDD01 has created a new track for practitioners, vendors and users
  to present experiences in data mining in their respective areas.

  - Data Mining at Standard Chartered Bank, Steven Parker, Standard and
    Charter

  - Improving web design - mining web data at SCMP.com, H.P.Lo, City U
    of Hong Kong

  - Data Mining Application and Implementation in Banking, a Case
    Study, Dick Cheng, SAS Institute, Australia

  - Data Mining Application in Internet Polling, Dennis Pang,
    Superpoll, Taiwan

  - and many more ....

TUTORIALS:

  An Introduction to MARS
    - Dr. Dan Steinberg, CEO of Salford Systems, USA

  Static and Dynamic Data Mining Using Advanced Machine Learning
  Methods
     - Professor Ryszard S. Michalski, George Mason University, USA

  Sequential Pattern Mining: From Shopping History Analysis to
  Weblog Mining and DNA Mining
     - Professor Jiawei Han and Mr. Jian Pei, Simon Fraser University,
       Canada

  Recent Advances in Data Mining Algorithms for Large Databases
     - Dr. Rajeev Rastogi and Dr. Kyuseok Shim, ATAT&Tamp;T Bell Lab
        & amp; KAIST, Korea.

  Web Mining for E-Commerce
     - Professor Jaideep Srivastava, University of Minnesota, USA

  From Evolving Single Neural Networks to Evolving Ensembles
     - Professor Xin Yao, The University of Birmingham, United Kingdom.

WORKSHOPS:

  Spatial and Temporal Data;

  Statistical Techniques in Data Mining;

  Data Mining an Electronic Business.

(This CFP was shortened. See full details at the website above. GPS)