PAKDD-2001 CFP: Knowledge Discovery and Data Mining

Subject: PAKDD-2001 CFP: Knowledge Discovery and Data Mining
From: Graham Williams (
Date: Thu Oct 05 2000 - 22:24:43 MET DST


                         Second Call for Papers

                   Submission Deadline 12 November


                              The Fifth

    Pacific-Asia Conference on Knowledge Discovery and Data Mining

                    Hong Kong, April 16 - 18, 2001


  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.


  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

  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 or send five
  copies to:
    David Cheung (PAKDD-01)
    E-Business Technology Institute
    The University of Hong Kong
    Pokfulam, Hong Kong


  The PAKDD Best Paper Award will be conferred on the authors of the
  best paper at the conference.

  Authors of selected papers will be invited to have their paper
  included in a special issue of an international journal.

  We invite submissions in the areas of KDD research and application.
  Areas of interest include but are not limited to:

    Foundations and principles of data mining
    New application challenges and requirements
    Web based mining
    Data mining applications in e-commerce
    Resource discovery in the Internet
    Internet standards for data mining
    Data mining and data warehousing
    Data mining in multidimensional databases
    Data mining in heterogeneous databases
    Data mining support for data warehouse design
    Integration with data warehousing/OLAP
    Parallel and distributed mining
    Statistical methods in data mining
    Rule induction and decision trees
    Clustering and classification
    Exploratory data analysis
    Visual data mining and visualization
    Machine learning for data mining
    Knowledge representation and acquisition in KDD
    Performance and benchmarks of KDD systems
    Security and social impact of data mining


  Tutorials and Workshops will form a key component of the
  conference. It is planned to hold them on Monday, 16 April 2001.
  Proposals for addressing issues in data mining, knowledge discovery
  and applications are invited.

  New applications such as temporal and spatial data mining, Asian
  language text mining, collaborative filtering, personalization, eCRM
  and e-marketplace data mining are of special interest.

  Tutorial and workshop proposals (preferably by email) should be
  submitted by 30 October 2000 to the respective Chair:

    Joshua Z Huang, Tutorial Chair
    E-Business Technology Institute
    The University of Hong Kong
    Pokfulam Road, Hong Kong

    Michael K Ng, Workshop Chair
    Department of Mathematics
    The University of Hong Kong
    Pokfulam Road, Hong Kong


  Proposals for live demonstrations of research projects, prototypes,
  experimental systems, and/or potential commercial products are
  encouraged. Each proposal should include a title page containing the
  title, names of presenters and their postal/Email addresses, and a
  two-page description of the demo system. Proposals (preferably by
  email) should be submitted by 15 January 2001 to the Demonstration
  Chair at

    Jiming Liu, Demonstration Chair
    Department of Computer Science
    Hong Kong Baptist University
    Kowloon Tong, Hong Kong


  Tutorial proposals : 30 October 2000
  Workshop proposals : 30 October 2000
  Submissions due date : 12 November 2000
  Notification date : 24 December 2000
  Demonstration proposals: 15 January 2001
  Camera ready date : 23 January 2001
  Conference date : 16-18 April 2001

  Rohan Baxter CSIRO, Australia
  Keith Chan Hong Kong Polytechnic University
  Surajit Chaudhuri Microsoft, USA
  Ming-Syan Chen National Taiwan University
  Umeshwar Dayal Hewlett-Packard Labs, USA
  Tharam Dillon Hong Kong Polytechnic University
  Guozhu Dong Wright State University, USA
  Ada Fu Chinese University of Hong Kong
  Yike Guo Imperial College, UK
  Jayant Haritsa Indian Institute of Science, India
  Markus Hegland Australian National University
  Robert Hilderman University of Regina, Canada
  Joshua Z Huang University of Hong Kong
  Moon Yul Huh SKK University, Korea
  Vijay Iyengar IBM T.J. Watson Research Center, USA
  Ben Kao University of Hong Kong
  Kamal Karlapalem Hong Kong UST
  Hiroyuki Kawano University of Kyoto, Japan
  Jinho Kim Kangwon National U., Korea
  Sang-Wook Kim Kangwon National University, Korea
  Masaru Kitsuregawa University of Tokyo, Japan
  Kevin Korb Monash University, Australia
  Laks V.S. Lakshmanan Concordia U. and IIT, Bombay
  Doheon Lee Chonnam National University, Korea
  T Y Lin San Jose State University, USA
  Bing Liu National University of Singapore
  Huan Liu Arizona State University, USA
  Jiming Liu Hong Kong Baptist University
  Hongjun Lu Hong Kong UST
  Hiroshi Motoda Osaka University, Japan
  Raymond Ng UBC, Canada
  Kyuseok Shim KAIST, Korea
  Il-Yeol Song Drexel University, USA
  Changjie Tang Sichuan University, China
  Zhaohui Tang Microsoft, USA
  Ah-Hwee Tan Kent Ridge Digital Labs, Singapore
  Takao Terano University of Tsukuba, Japan
  Bhavani Thurasingham MITRE, USA
  Kyu-Young Whang KAIST, Korea
  Ian Witten University of Waikato, New Zealand
  Xindong Wu Colorado School of Mines, USA
  Yiyu Yao University of Regina, Canada
  Clement Yu University of Illinois, USA
  Jeffrey Yu Chinese University of Hong Kong
  Philip Yu IBM T.J. Watson Research Center, USA
  Osamar R. Zaiane University of Alberta, Canada
  Mohammed Zaki Rensselaer Poly Institute, USA
  Ning Zhong Maebashi Institute of Technology
  Aoying Zhou Fudan University, China
  Lizhu Zhou Tsinghua University, China


Conference Chairs:
 Chung-Jen Tan (University of Hong Kong and IBM Watson)
 Jiawei Han (Simon Fraser University, Canada)

Program Committee Chairs:
 David Cheung (University of Hong Kong)
 Qing Li (City University of Hong Kong)
 Graham Williams (CSIRO, Australia)

Tutorial Chair:
 Joshua Z Huang (University of Hong Kong)

Workshop Chair:
 Michael K Ng (University of Hong Kong)

Industrial Chair:
 Joseph Fong (City University of Hong Kong)

Demonstration Chair:
 Jiming Liu (Baptist University of Hong Kong)

Local arrangements Chairs:
 Ronnie Cheung (Hong Kong Poly University)
 Ben Kao (University of Hong Kong)

Publicity Chairs:
 Vincent Ng (Hong Kong Poly University)
 Rohan Baxter (CSIRO, Australia)
 Hiroyuki Kawano (Kyoto University, Japan)

 Ada Fu (Chinese University of Hong Kong)


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