Second Call for Papers Submission Deadline 12 November ------------------------------------------------------------------------ The Fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-01) Hong Kong, April 16 - 18, 2001 ------------------------------------------------------------------------ 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 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 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)