======================================================================== CALL FOR PAPERS: PAKDD-2000 ======================================================================== The Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining Kyoto, Japan April 18-20, 2000 Papers Due: October 10, 1999 Sponsored by: (to be confirmed) Japanese Society of Artificial Intelligence SIG-KBS (Knowledge Base Systems) SIG-FAI (Fundamental AI) The Institute of Electronics, Information and Communication Engineers SIG-DE (Data Engineering), SIG-AI (Artificial Intelligence) Japan Society for Software Science and Technology SIG-DM (Data Mining) Information Processing Society of Japan SIG-DB (Data Base) SIC-ICS (Intelligent & Complex Systems) ACM SIG-MOD Japan Keihanna Interaction Plaza, Inc. The Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2000) 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, PAKDD-98 held in Australia in 1998, and PAKDD-99 held in China in 1999 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 * Logic for/of Knowledge Discovery * Expanding the Autonomy of Machine Discovers * Human Factors * Scientific Discovery * New Theory, Philosophy, and Methodology - KDD Algorithms and Methods * Machine Learning Methods * Statistical Methods * Heuristic Search * Inductive Logic Programming * Deduction, Induction and Abduction * Discovery of Exceptions and Deviations * Multi-criteria Evaluation and Data Mining Metrics * Hybrid and Multi-agent Methods * 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 * Rough Sets in Data Mining * Neural Networks, Probabilistic Reasoning * Noise Handling and Uncertainty Management * Hybrid Symbolic/Connectionist KDD Systems - High Performance Data Mining and Applications * Multi-Database Mining * Data Mining in Advanced Databases (OODB, Spatial DB, Multimedia DB) * Database Reverse Engineering * 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 * 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 are expected to be published in the conference proceedings by Springer-Verlag in the Lecture Notes in Artificial Intelligence series. A selected number of PAKDD-2000 accepted papers will be expanded and revised for inclusion in major Japanese and/or international journals. Candidates include "Knowledge and Information Systems: An International Journal" by Springer-Verlag ( to minimize the possible conflict of paper length when preparing the camera ready. PAKDD Steering Committee: ========================= 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 Lizhu Zhou, Tsinghua University, China Ning Zhong, Yamaguchi University, Japan Conference Chairs: ================== Masaru Kitsuregawa, University of Tokyo, Japan Hiroshi Motoda, Osaka University, Japan Program Chairs: =============== Takao Terano, Tsukuba University, Japan (Chair) Arbee L. P. Chen, National Tsing Hua University, Taiwan (Co-chair) Huan Liu, National University of Singapore, Singapore (Co-chair) Publicity Chair: =============== Shinichi Morishita, University of Tokyo, Japan Workshop Chair: =============== Takahira Yamaguchi, Shizuoka University, Japan Tutorial Chair: =============== Shusaku Tsumoto, Shimane Medical University, Japan Local Organizing Committee Chair: ============================ Shiro Takata, Keihanna Interaction Plaza, Inc., Japan Program Committee: (To be announced) =============== Further Information: ==================== Takao Terano (PAKDD-2000) Graduate School of Systems Management, The University of Tsukuba, Tokyo 3-29-1 Otsuka, Bunkyo-ku, Tokyo 112, Japan Tel.: +81-3-3942-6855 Fax.: +81-3-3942-6829 Email - --------------------------------------------------------------- Call for Tutorial Proposals ~~~~~~~~~~~~~~~~~~~~~~~~~~~ PAKDD-2000 will offer a tutorial program on KDD topics. We would be able to present only a limited number of tutorials, and the selection would be guided by the perceived quality and relevance to the conference. If you are interested in giving a tutorial, please send a proposal to by Oct. 10, 1999. Call for Workshop Proposals ~~~~~~~~~~~~~~~~~~~~~~~~~~~ PAKDD-2000 will provide a venue for a few workshops to focus on advanced research areas of KDD. Please submit suggestions for workshop proposals to by Oct. 10, 1999. Call for Panel Proposals ~~~~~~~~~~~~~~~~~~~~~~~~ Proposals are sought for panels that stimulate interaction between the communities contributing to KDD. Include title, the main goals, prospective participants and a summary of the topics to be discussed. Please email panel proposals to by Oct. 10, 1999. Call for Exhibits and Industry Sessions ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PAKDD-2000 will organize a data mining, OLAP and data warehouse product exhibition. Please send proposals for exhibits to by Oct. 10, 1999.