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FINAL CALL FOR PAPERS: PAKDD-99
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The Third Pacific-Asia Conference on
Knowledge Discovery and Data Mining
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Xiangshan Hotel, Beijing, China
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April 26-28, 1999
Home Page: http://ain2.ai.csse.yamaguchi-u.ac.jp/pakdd99
Papers Due: October 10, 1998
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Sponsored by:
Tsinghua University
National Science Foundation of China
Chinese Computer Federation
Toshiba Corporation
NEC Software Chugoku, Ltd.
Invited Speakers:
Won Kim (Keynote Speech, Cyber Database Solutions, USA)
Hiroshi Motoda (Osaka University, Japan)
Tutorials:
"Automated Discovery: Combining AI, Statistics and Theory of Knowledge"
by Jan Zytkow (University of North Carolina, USA)
"Quality Data and Effective Mining"
by Hongjun Lu (Hong Kong Univ. of Science and Technology, China)
Panel Discussion
(Chair: Xindong Wu, Colorado School of Mines, USA)
Emerging Technology Speakers:
(in Special Session on Emerging KDD Technology)
Zdzislaw Pawlak (Polish Academy of Sciences, Poland)
Philip Yu (IBM T.J. Watson Research Center, USA)
T.Y. Lin (San Jose State University, USA)
Hiroshi Tsukimoto (Toshiba Sys. and Soft. Research Lab., Japan)
The Third Pacific-Asia Conference on Knowledge Discovery and Data
Mining (PAKDD-99) will provide an international forum for the sharing
of original research results and practical development experiences
among researchers and application developers from different KDD
related areas such as machine learning, databases, statistics,
knowledge acquisition, data visualization, knowledge-based systems,
soft computing, and high performance computing. It will follow the
success of PAKDD-97 held in Singapore in 1997 and PAKDD-98 held in
Australia in 1998 by bringing together participants from universities,
industry and government.
Papers on all aspects of knowledge discovery and data mining are
welcome. Areas of interest include, but are not limited to:
- Theory and Foundational Issues in KDD
* Data and Knowledge Representation in KDD
* Logic for/of Knowledge Discovery
* Expanding the Autonomy of Machine Discovers
* Human Factors in KDD
* Scientific Discovery and KDD
* New Theory, Philosophy, and Methodology for KDD
- KDD Algorithms and Methods
* Machine Learning Methods for KDD
* Statistical Methods for KDD
* Heuristic Search for KDD
* Inductive Logic Programming
* Deduction, Induction and Abduction in KDD
* Discovery of Exceptions and Deviations
* Multi-criteria Evaluation and Data Mining Metrics
* Hybrid and Multi-agent Methods for KDD
* Evaluation of Complexity, Efficiency, and Scalability of Algorithms
- Process-Centric KDD
* Models and Framework of the Knowledge Discovery Process
* Data and Dimensionality Reduction
* Preprocessing and Postprocessing
* Interestingness Checking of Data and Rules
* Management and Refinement for the Discovered Knowledge
* Decomposition of Large Data Sets
* Discretisation of Continuous Data
* Data and Knowledge Visualization
* Role of Domain Knowledge and Reuse of Discovered Knowledge
* KDD Process and Human Interaction
- Soft Computing for KDD
* Information Granulation and Granular Computing in KDD
* Rough Sets in Data Mining
* Neural Networks, Probabilistic Reasoning for KDD
* Noise Handling and Uncertainty Management
* Hybrid Symbolic/Connectionist KDD Systems
- High Performance KDD, Integration, and Applications
* Multi-Database Mining
* Mining in Advanced Databases (OODB, Spatial DB, Multimedia DB)
* Database Reverse Engineering for KDD
* Integration of Data Warehousing, OLAP and Data Mining
* Combining Data Mining with Database Querying
* Parallel and Distributed Data Mining
* Data Mining on the Internet
* Multi-agent, Multi-task KDD Systems
* Data Mining from Unstructured and Multimedia Data
* Unification of Data Mining with Intelligent Information Retrieval
* Security and Privacy Issues in KDD
* Successful/Innovative KDD Applications in Science, Engineering,
Medicine, Business, Education, Government, and Industry
Both research and applications papers are solicited. All submitted
papers will be reviewed on the basis of technical quality, relevance
to KDD, originality, significance, and clarity. Accepted papers will
be published in the conference proceedings by
Springer-Verlag in the Lecture Notes in Artificial Intelligence
series. A selected number of PAKDD-99 accepted papers will be expanded
and revised for inclusion in "Knowledge and Information Systems: An
International Journal" by Springer-Verlag
(http://www.sd.monash.edu.au/kais/). PAKDD Best Paper Awards will be
conferred on the authors of the best papers at the conference.
Authors are invited to submit four hard copies of their manuscript
(12pt font, maximum 5,000 words) to one of the addresses below:
Professor Ning Zhong (PAKDD-99)
Department of Computer Science and Systems Engineering
Faculty of Engineering, Yamaguchi University
Tokiwa-Dai, 2557, Ube 755, Japan
Telephone & Fax: +81-836-35-9949
Email: zhong@ai.csse.yamaguchi-u.ac.jp
Papers from China:
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Professor Lizhu Zhou (PAKDD-99)
Department of Computer Science and Technology
Tsinghua University
Beijing 100084, China
Email: dcszlz@mail.tsinghua.edu.cn
Please include a cover page containing the title, authors (names,
postal and email addresses), a 200-word abstract and up to 5 keywords.
This cover page must accompany the paper.
*************** I m p o r t a n t D a t e s ***************
* 4 copies of full papers received by: October 10, 1998 *
* Acceptance notices: December 20, 1998 *
* Camera-readies due by: January 30, 1999 *
* Conference: April 26-28, 1999 *
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PAKDD Steering Committee:
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Xindong Wu, Colorado School of Mines, USA (Chair)
Hongjun Lu, National University of Singapore (Co-Chair)
Rao Kotagiri, University of Melbourne, Australia
Huan Liu, National University of Singapore
Hiroshi Motoda, Osaka University, Japan
Conference Chairs:
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Bo Zhang, Tsinghua University, China
Setsuo Ohsuga, Waseda University, Japan
Program Chairs:
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Ning Zhong, Yamaguchi University, Japan
Lizhu Zhou, Tsinghua University, China
Organizing Committee Chairs:
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Zhongzhi Shi, Chinese Academy of Sciences
Shan Wang, People's University of China
Publicity Chair:
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Lianhua Xiao, The National Science Foundation of China
Local Chair:
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Zengqi Sun, Tsinghua University, China
Exhibition Chair:
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Dayang Zhang, The State Information Center of China
Program Committee:
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Tatsuya Akutsu, University of Tokyo
Ming-Syan Chen, National Taiwan University
David Cheung, Hong Kong University
Michael Chung, California State University, Long Beach
Honghua Dai, University of New England
David Dowe, Monash University
Usama Fayyad, Microsoft Research
Yike Guo, Imperial College, UK
Jiawei Han, Simon Fraser University
Xiaohua Hu, Knowledge Stream, USA
Zhexue Huang, MIP, Australia
Hiroyuki Kawano, Kyoto University
Kyung-Chang Kim, Hong-Ik University
Masaru Kitsuregawa, University of Tokyo
Kevin Korb, Monash University
Rao Kotagiri, University of Melbourne
Deyi Li, Beijing System Engineering Institute
T.Y. Lin, San Jose State University
Bing Liu, National University of Singapore
Chunnian Liu, Beijing Polytechnic University
Huan Liu, National University of Singapore
Jiming Liu, Hong Kong Baptist University
Yuchang Lu, Tsinghua University
Hongjun Lu, National University of Singapore
Shinichi Morishita, University of Tokyo
Hiroshi Motoda, Osaka University
Gregory Piatetsky-Shapiro, Knowledge Stream, USA
Mohamed Quafafou, University of Nantes
Zbigniew W. Ras, University of North Carolina
Arun Sharma, University of New South Wales
Zhongzhi Shi, Chinese Academy of Sciences
Chunyi Shi, Tsinghua University, China
Arul Siromoney, Anna University, India
Andrzej Skowron, Warsaw University
Atsuhiro Takasu, NACSIS, Japan
Takao Terano, University of Tsukuba
Bhavani Thuraisingham, MITRE Corporation, USA
Hiroshi Tsukimoto, Toshiba Corporation
Shusaku Tsumoto, Tokyo Medical and Dental University
Jeffrey D. Ullman, Stanford University
Jue Wang, Chinese Academy of Sciences
Lipo Wang, Deakin University
Shan Wang, People's University of China
Takashi Washio, Osaka University
Graham Williams, CSIRO, Australia
Xindong Wu, Monash University
Jiepan Xu, Nanjing University
Beat Wuthrich, Hong Kong Univ. of Science & Technology
Yiyu Yao, Lakehead University
Meide Zhao, University of Illinois at Chicago
Zijian Zheng, Deakin University
Aoying Zhou, Fudan University
Jan Zytkow, University of North Carolina
Further Information:
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Professor Ning Zhong (PAKDD-99)
Department of Computer Science and Systems Engineering
Faculty of Engineering, Yamaguchi University
Tokiwa-Dai, 2557, Ube 755, Japan
Telephone & Fax: +81-836-35-9949
Email: zhong@ai.csse.yamaguchi-u.ac.jp
Call for Exhibits
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PAKDD-99 will organize a data mining, OLAP and data warehouse product
exhibition. Please send proposals for exhibits to
zhong@ai.csse.yamaguchi-u.ac.jp by October 10, 1998.
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