各位 ＰＡＫＤＤ０３のＣＦＰをお送りいたします。 回を重ね、しっかりしたデータマイニング国際 会議に成長して参りました。ご投稿を検討下さい。 喜連川優＠東大生研 ---------------------------------------------- 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 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 for 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. 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 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 Organized by Advanced Information Technology Center (AITrc), a KOSEF ERC, and Statistical Research Center for Complex Systems (SRCCS), a KOSEF SRC. 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 D. A. Choi, Dreamwiz Inc., 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 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 Ning Zhong, Maebashi Institute of Technology, Japan Aoying Zhou, Fudan University, China Lizhu Zhou, Tsinghua University, China Jau-Hwang Wang, Central Police University, Taiwan Richard Weber, Universidad de Chile, Chile Graham Williams, CSIRO, Australia Mohammed Zaki, Rensselaer Polytechnic Institute, USA 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.