Just a reminder..... the deadline is fast approaching.
Also, today is the deadline for TUTORIAL and WORKSHOP PROPOSALS.
(If you would rather not be included on this email list please reply
to me and I will remove you immediately. My apologies for this
intrusion.)
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Submission Deadline 12 November
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The Fifth
Pacific-Asia Conference on Knowledge Discovery and Data Mining
(PAKDD-01)
Hong Kong, April 16 - 18, 2001
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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
AWARDS AND JOURNAL PUBLICATION
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.
TOPICS
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
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
jhuang@eti.hku.hk
Michael K Ng, Workshop Chair
Department of Mathematics
The University of Hong Kong
Pokfulam Road, Hong Kong
mng@maths.hku.hk
DEMONSTRATIONS
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@comp.hkbu.edu.hk.
Jiming Liu, Demonstration Chair
Department of Computer Science
Hong Kong Baptist University
Kowloon Tong, Hong Kong
IMPORTANT DATES
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
INTERNATIONAL PROGRAM COMMITTEE
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
David Dowe Monash University, Australia
Ada Fu Chinese University of Hong Kong
Yike Guo Imperial College, UK
Jayant Haritsa Indian Institute of Science, India
Simon Hawkins CSIRO, Australia
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
ORGANIZATION
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)
Treasurer:
Ada Fu (Chinese University of Hong Kong)
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