Please find Call for Papers for PAKDD 2003 to be held in Korea. Huan
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Call for Papers and Proposals
The Seventh Pacific-Asia Conference
on Knowledge Discovery and Data Mining (PAKDD-03)
The Convention and Exhibition Center (COEX), Seoul, Korea
April 30 - May 2, 2003
http://aitrc.kaist.ac.kr/~pakdd03
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Key Dates
Nov. 15, 2002 Paper Submissions Due
Jan. 17, 2003 Notice of Acceptance,
Rejection to Paper Authors
Feb. 5, 2003 Camera-Ready Copy Due
Oct. 25, 2002 Tutorial & Workshop Proposals Due
Aims of the Conference
The Seventh Pacific-Asia Conference on Knowledge Discovery and
Data Mining (PAKDD-03) aims to provide a forum for academic
researchers and industry practitioners to share original research results
and development experiences from different KDD related areas such as
data mining, data warehousing, machine learning, databases, statistics,
knowledge acquisition and discovery, data visualization, and knowledge-based
systems. The conference solicits research papers as well as proposals for
tutorials and workshops on all aspects of knowledge discovery and data mining.
Areas of Interests (including, but not limited to)
- Data Mining Biomedical Domains
- Novel Data Mining algorithms
- Data and Knowledge Representation
- Scientific Discovery
- Machine Learning Methods
- Statistical Methods
- Mining High Dimensional Data
- Text Data Mining
- Temporal Data Mining
- Data and Knowledge Visualization
- Interactive and Online Mining
- KDD Process and Human Interaction
- Data Mining in Advanced (OO, Spatial, Multimedia) Databases
- Integration of Data Warehousing, OLAP and Data Mining
- Parallel and Distributed Data Mining
- Data Mining and the Internet
- Multi-agent, Multi-task KDD Systems
- Data Mining from Unstructured and Multimedia Data
- Security and Privacy Issues
Submission Guidelines
- Papers (Due November 15, 2002):
The submission should consist of a cover page with title,
authors' names, postal and e-mail addresses, an approximately 200
word summary, up to 5 keywords and a body not longer than 12
single-spaced pages with font size at least 11pts. Authors are
strongly encouraged to use Springer¡¯s manuscript submission
guidelines, available at http://www.springer.de/comp/lncs/authors.html
for their initial submission. All papers must be submitted electronically
in PDF format. Detailed submission instructions can be found at
http://aitrc.kaist.ac.kr/~pakdd03.
- Proposals for Tutorials and Workshops (Due October 25, 2002):
Tutorial proposals must clearly identify the intended audience.
A proposal should include, in English, a description and outline
of the proposed contents; names, affiliations, and biographical
sketches of the speakers. The intended length of the tutorial
(3 or 6 hours) should also be indicated. Submit the proposals
by e-mail to Tutorial Chairs. Workshop proposals should be
submitted to Workshop Chairs. For detailed submission instructions
please visit the workshop section of the conference website at
http://aitrc.kaist.ac.kr/~pakdd03
Proceedings Publisher
Accepted papers will appear in proceedings published by
Springer-Verlag as part of their LNCS/LNAI Lecture Notes in Artificial
Intelligence series. Details about the LNCS/LNAI series can be found at
http://www.springer.de/comp/lncs/index.html
Organizing Committee
- Honorary Chairs:
Won Kim, Cyber Database Solutions, USA/Ewha Womans U., Korea
Sukho Lee, Seoul Nat. U., Korea
- International Advisory Committee:
Rakesh Agrawal, IBM Almaden, USA
Jiawei Han, UIUC, USA
Kuan-Tsae Huang, Taskco Corp., Taiwan
Jongwoo Jeon, Seoul Nat. U./SRCCS, Korea
- General Chair:
Kyu-Young Whang, KAIST/AITrc, Korea
- Program Chairs:
Kyuseok Shim, Seoul Nat. U./AITrc, Korea
Jaideep Srivastava, U. of Minnesota, USA
- Tutorial Chairs:
Sang Kyun Cha, Seoul Nat. U., Korea
Rajeev Rastogi, Lucent Bell Labs, USA
- Workshop Chairs:
Doheon Lee, KAIST, Korea
Bongki Moon, U. of Arizona, USA
- Industrial Program Chairs:
Jaehee Cho, Kwangwoon U., Korea
Ramakrishnan Srikant, IBM Almaden, USA
- Organizing Committee Chairs:
Eui Kyeong Hong, U. of Seoul/AITrc, Korea
Won Chul Jhee, Hongik U., Korea
- Publication Chair:
Byoung-Kee Yi, POSTECH, Korea
- Registration Chair:
Byung Yeon Hwang, The Catholic U. of Korea, Korea
- Publicity Chairs:
Myung Kim, Ewha Womans U., Korea
Byung S. Lee, U. of Vermont, USA
- Local Arrangements:
Sungzoon Cho, Seoul Nat. U., Korea
Jinho Kim, Kangwon Nat. U./AITrc, Korea
Yong Chul Oh, Korea Polytechnic U., Korea
- Steering Committee Members:
Hongjun Lu (Chair), Hong Kong U. of Sci. & Tech., Hong Kong
Hiroshi Motoda (Co-chair), Osaka U., Japan
Arbee L. P. Chen, Nat. Tsing Hua U., Taiwan
Ming-Syan Chen, Nat. Taiwan U., Taiwan
David W. Cheung, The U. of Hong Kong, Hong Kong
Masaru Kitsuregawa, The U. of Tokyo, Japan
Rao Kotagiri, U. of Melbourne, Australia
Huan Liu, Arizona State U., USA
Takao Terano, U. of Tsukuba, Japan
Graham Williams, CSIRO, Australia
Ning Zhong, Maebashi Inst. of Tech., Japan
Lizhu Zhou, Tsinghua U., China
Program Committee
Raj Acharya, Pennsylvania State University, USA
Roberto Bayardo, IBM Almaden Research, USA
Elisa Bertino, University of Milano, Italy
Bharat Bhasker, IIM Lucknow, India
Paul Bradley, digiMine, USA
Arbee Chen, National Tsing Hua University, Taiwan
Ming-Syan Chen, National Taiwan University, Taiwan
David Cheung,The University Hong Kong, Hong Kong
Daewoo Choi, Hankuk Univ. of Foreign Studies, Korea
Gautam Das, Microsoft Research, USA
Umesh Dayal, HP Lab, USA
Usama Fayyad, digiMine, USA
Venkatesh Ganti, Microsoft Research, USA
Minos Garafalakis, Bell Labs, USA
Johannes Gehrke, Cornell University, USA
Joydeep Ghosh, UT Austin, USA
Dimitrios Gunopoulos, UC Riverside, USA
Shyam Kumar Gupta, IIT Delhi, India
Sudipto Guha, University of Pennsylvania, USA
Jayant R. Haritsa, Indian Institute of Science, India
San-Yih Hwang, National Sun-Yat Sen University, Taiwan
Soon Joo Hyun, Information and Communication University, Korea
H. V. Jagadish, University of Michigan, USA
Myoung Ho Kim, KAIST, Korea
Masaru Kitsuregawa, The University of Tokyo, Japan
Rao Kotagiri, University of Melbourne, Australia
Nick Koudas, AT&T Research, USA
Vipin Kumar, University of Minnesota, USA
Laks V.S. Lakshmanan, UBC, Canada
Aleks Lazarevic, University of Minnesota, USA
Kyuchul Lee, Chungnam National University, Korea
Sangho Lee, Soongsil University, Korea
Sang-goo Lee, Seoul National University, Korea
Yoon-Joon Lee, KAIST, Korea
Yugi Lee, Univ. of Missouri-Kansas city, USA
Jianzhong Li, Harbin Institute of Technology, China
Ee-Peng Lim , Nanyang Technological University, Singapore
Tok Wang Ling, National University of Singapore, Singapore
Bing Liu, University of Illinois - Chicago, USA
Huan Liu, Arizona State University, USA
Hongjun Lu, Hong Kong UST, Hong Kong
Akifumi Makinouch, Kyushu University, Japan
Heikki Mannila, Nokia, Finland
Yoshifumi Masunaga, Ochanomizu University, Japan
Hiroshi Motoda, Osaka University, Japan
Rajeev Motwani, Stanford University, USA
Sham Navathe, Georgia Institute of Technology, USA
Raymond Ng, UBC, Canada
Beng Chin Ooi, National University. of Singapore, Singapore
T. V. Prabhakar, IIT Kanpur, India
Raghu Ramakrishnan, University of Wisconsin, USA
Keun Ho Ryu, Chungbuk National University, Korea
Shashi Shekhar, University of Minnesota, USA
Kian-Lee Tan, National University of Singapore, Singapore
Pang-Ning Tan, University of Minnesota, USA
Takao Terano, University of Tsukuba, Japan
Bhavani Thuraisingham, NSF, USA
Hannu T. T. Toivonen, Nokia Research, Finland
Shan Wang, Renmin University of China, China
Jau-Hwang Wang, Central Police University, Taiwan
Richard Weber, Universidad de Chile, Chile
Graham Williams, CSIRO, Australia
You-Jip Won, Hanyang University, Korea
Xingdong Wu, Colorad School of Mine, USA
Yong-Ik Yoon, Sookmyung Women's University, Korea
Philip S. Yu, IBM Watson Research Center, USA
Mohammed Zaki, Rensselaer Polytechnic Institute, USA
Ning Zhong, Maebashi Institute of Technology, Japan
Aoying Zhou, Fudan University, China
Lizhu Zhou, Tsinghua University, China
Keynote Speakers
- Dr. Rakesh Agrawal:
Rakesh Agrawal is a widely acknowledged leader in the field of
data mining. His seminal work in association rule mining led
wide adoption of data mining technology in the industry, as well as
significant activity in the research community ? both academic and
industrial. He has led the Quest project at IBM¡¯s Almaden research
center since its inception, which in addition to producing steady flow
of significant research results, has also been an excellent training
ground for young data mining researchers. Prior to joining IBM,
Dr. Agrawal worked at AT&T Bell Labs. He received his Ph.D. in Computer
Sciences at the University of Wisconsin, Madison.
- Prof. Andreas Buja:
Andreas Buja is a professor of Statistics in the Wharton School of
Business of the University of Pennsylvania. He is well known for his
pioneering work on the use of visualization to enhance the understanding
of data analysis results. Professor Buja has held positions at AT&T Labs,
University of Washington, and Salomon Brothers, and a number of visiting
positions. A Fellow of the American Statistical Association, Prof. Buja
received his Ph.D. in Mathematics/Statistics at the Swiss Federal Institute
of Technology (ETH), Zurich, Switzerland.
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Organized by Advanced Information Technology Center (AITrc), a KOSEF ERC,
and Statistical Research Center for Complex Systems (SRCCS), a KOSEF SRC
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