Editor for this issue: Jody Huellmantel <jody
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- -------------------------------------------------------------------- ICDM '01: The 2001 IEEE International Conference on Data Mining Sponsored by the IEEE Computer Society - -------------------------------------------------------------------- Silicon Valley, California, USA November 29 - December 2, 2001 Home Page: http://kais.mines.edu/~xwu/icdm/icdm-01.html Call for Papers *************** The 2001 IEEE International Conference on Data Mining (ICDM '01) provides a forum for the sharing of original research results and practical development experiences among researchers and application developers from different data mining related areas such as machine learning, automated scientific discovery, statistics, pattern recognition, knowledge acquisition, soft computing, databases and data warehousing, data visualization, and knowledge-based systems. The conference seeks solutions to challenging problems facing the development of data mining systems, and shapes future directions of research by promoting high quality, novel and daring research findings. As an important part of the conference, the workshops program will focus on new research challenges and initiatives. Topics of Interest ================== Topics related to the design, analysis and implementation of data mining theory, systems and applications are of interest. These include, but are not limited to the following areas: - Foundations and principles of data mining - Data mining algorithms and methods in traditional areas (such as classification, clustering, probabilistic modeling, and association analysis), and in new areas - Data and knowledge representation for data mining - Modeling of structured, textual, temporal, spatial, multimedia and Web data to support data mining - Complexity, efficiency, and scalability issues in data mining - Data pre-processing, data reduction, feature selection and feature transformation - Statistics and probability in large-scale data mining - Soft computing (including neural networks, fuzzy logic, evolutionary computation, and rough sets) and uncertainty management for data mining - Integration of data warehousing, OLAP and data mining - Man-machine interaction in data mining and visual data mining - Artificial intelligence contributions to data mining - High performance and distributed data mining - Machine learning, pattern recognition and automated scientific discovery - Quality assessment and interestingness metrics of data mining results - Process centric data mining and models of data mining process - Security and social impact of data mining - Emerging data mining applications, such as electronic commerce, Web mining and intelligent learning database systems Conference Publications and ICDM Best Paper Awards ================================================== High quality papers in all data mining areas are solicited. Papers exploring new directions will receive a careful and supportive review. All submitted papers should be limited to a maximum of 6,000 words (approximately 20 A4 pages), and will be reviewed on the basis of technical quality, relevance to data mining, originality, significance, and clarity. Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press. A selected number of ICDM '01 accepted papers will be expanded and revised for possible inclusion in the Knowledge and Information Systems journal ( http://kais.mines.edu/~kais/ ) by Springer-Verlag. ICDM Best Paper Awards will be conferred on the authors of the best papers at the conference. Important Dates =============== June 15, 2001 Paper submissions. July 31, 2001 Acceptance notices. August 31, 2001 Final camera-readies. Nov 29 - Dec 2, 2001 Conference. Detailed instructions for paper submissions will be provided on the conference home page at http://kais.mines.edu/~xwu/icdm/icdm-01.html . Conference Chair: ================= Xindong Wu, Colorado School of Mines, USA (xindongMail to author|Respond to list|Read more issues|LINGUIST home page|Top of issuecomputer.org) Program Committee Chairs: ========================= Nick Cercone, University of Waterloo, Canada (ncercone
math.uwaterloo.ca) T.Y. Lin, San Jose State University, USA (tylin
mathcs.sjsu.edu) ICDM '01 Workshops Chair: ========================= Johannes Gehrke, Cornell University, USA (johannes
cs.cornell.edu) ICDM '01 Tutorials Chair: ========================= Chris Clifton, MITRE, USA (clifton
mitre.org) ICDM '01 Panels Chair: ====================== Ramamohanarao Kotagiri, University of Melbourne, Australia (rao
cs.mu.oz.au) ICDM '01 Publicity Chair: ========================= Ning Zhong, Maebashi Institute of Technology, Japan (zhong
maebashi-it.ac.jp) ICDM '01 Local Arrangements Chair: ================================== Xiaohua (Tony) Hu, Blue Martini Software Inc., USA (tonyhu
bluemartini.com) ICDM Steering Committee ======================= Max Bramer, University of Portsmouth, UK Nick Cercone, University of Waterloo, Canada Ramamohanarao Kotagiri, University of Melbourne, Australia Katharina Morik, University of Dortmund, Germany Xindong Wu, Chair (Colorado School of Mines, USA) Philip S. Yu, IBM T.J. Watson Research Center, USA Ning Zhong, Maebashi Institute of Technology, Japan Jan M. Zytkow, University of North Carolina, Charlotte, USA Further Information =================== Dr. Xindong Wu Dept. of Mathematical and Computer Sciences, Colorado School of Mines, 1500 Illinois Street, Golden, Colorado 80401, USA. Telephone: +1-303-273-3874 Facsimile: +1-303-273-3875 E-mail: xindong
computer.org
NEW: Invited Speakers: Brian Gaines and Mildred Shaw Selected papers from PKAW2000 are planned to be invited for an edited volume on knowledge acquisition to be published in 2001. Negotiations with scientific publishers are underway. 2nd Call for Papers PKAW 2000: The 2000 Pacific Rim Knowledge Acquisition Workshop Venue: Holiday Inn, Coogee Beach, Sydney, Australia Date : Sydney, December 11-13, 2000 Co-located with ALT 2000 http://www.cse.unsw.edu.au/~achim/PKAW2000 Paper submission DEADLINE: 28 August 2000. Contents Introduction Topics of Interest Participation and Submission of Papers Important Dates Instructions for Paper Submission Workshop Organisers Program Committee ------------------------------------------------------------------------ Introduction The objective of this workshop is to assemble theoreticians and practitioners concerned with developing methods and systems that assist the knowledge acquisition process and assessing the suitability of such methods. Thus, the workshop includes all aspects of eliciting, acquiring, modeling and managing knowledge, and their role in the construction of knowledge-intensive systems. Knowledge acquisition still remains the bottleneck for building a knowledge based system. Reuse and sharing of knowledge bases are major issues and no satisfactory solutions have been agreed upon yet. There is a wide range of research. Much of the work in this field has been knowledge acquisition from human experts. The advent of the age of digital information has brought the problem of data overload. Our ability to analyze and understand massive datasets lags far behind our ability to gather and store the data. A new generation of computational techniques and tools is required to support the acquisition of useful knowledge from the rapidly growing volume of data. All of these are to be discussed in this workshop. This workshop offers an opportunity to draw together both aspects of dealing with the situated nature of human knowledge and expertise and of developing methods that depend more on their algorithmic adequacy than on the expertise of the knowledge engineer. Topics of Interest Papers are invited in all aspects of knowledge acquisition for knowledge-based systems, including (but not restricted to): * Fundamental views on knowledge that affect the knowledge acquisition process and the use of knowledge in knowledge engineering * Algorithmic approaches to knowledge acquisition * Tools and techniques for knowledge acquisition, knowledge maintenance and knowledge validation * Evaluation of knowledge acquisition techniques, tools and methods * Knowledge acquisition, machine learning and knowledge discovery * Languages and frameworks for knowledge and knowledge modeling * Integration of knowledge acquisition techniques with wider information systems or decision support systems * Methods and techniques for sharing and reusing knowledge * Distributed knowledge acquisition through infrastructures such as the Internet Participation and Submission of Papers Despite the more open nature of this workshop the major goal remains to encourage vigorous interaction and exchange of ideas. Consequently, the workshop participation will be kept small - less than 40 participants. Persons not submitting papers can also request to participate. Authors are invited to formulate an issue that would be useful to discuss. Software demonstrations related to presented papers are also encouraged. The submissions will be reviewed by members of the program committee. Accepted papers will be published in the proceedings and distributed at the workshop as well as on the WWW. Authors will retain copyright of their papers. For more information about the workshop, please contact the Workshop Chairs. Important Dates * Papers due by: August 28, 2000 * Notification of Acceptance: October 20, 2000 * Camera-ready version of Final paper due: November 20, 2000 * Date of Workshop: December 11-13, 2000 Instructions for Paper Submission Papers describing original research or practical experiences from building knowledge-based systems should be submitted in Postscript or pdf format. We expect papers to be between 10 and 20 pages of length. They should be printed in 12pt font for normal text. The text area should be 22cm x 16cm and centered on each page. For submission, authors should send an e-mail to Achim Hoffmann with the paper title, name of all authors and a URL from which the paper can be accessed. The subject should be: "PKAW2000 submission". The e-mail must be received by 28 August 2000. Workshop and Program Committee Chairs: Paul Compton (University of New South Wales, Australia) E-mail: comptonMail to author|Respond to list|Read more issues|LINGUIST home page|Top of issuecse.unsw.edu.au Achim Hoffmann (University of New South Wales, Australia) E-mail: achim
cse.unsw.edu.au Hiroshi Motoda (Osaka University, Japan) E-mail: motoda
ar.sanken.osaka-u.ac.jp Takahira Yamaguchi (Shizuoka University, Japan) E-mail: yamaguti
cs.inf.shizuoka.ac.jp Program Committee Richard Benjamins (Intelligent Software Components, S.A., Spain) Ghassan Beydoun (University of New South Wales, Australia) Bob Colomb (University of Queensland, Australia) John Debenham (CSIRO and University of Technology, Sydney, Australia) Rose Dieng (INRIA, France) Dieter Fensel (University of Amsterdam, The Netherlands) Udo Hahn (Freiburg University, Germany) Noriaki Izumi (Shizuoka University, Japan) Byeong Kang (University of Tasmania, Australia) Hideto Kazawa (NTT, Japan) Yasuhiko Kitamura (Osaka City University, Japan) Rob Kremer (University of Calgary, Canada) Huan Liu (Arizona State University, USA) Maria Lee (CSIRO, Australia) Rodrigo Martinez (University of Murcia, Spain) Tim Menzies (NASA, USA) Toshiro Minami (Kyushu University & Fujitsu Laboratories Limited, Japan) Enrico Motta (Open University, UK) Frank Puppe (University of Wuerzburg, Germany) Ulrich Reimer (Suisse Life, Switzerland) Debbie Richards (Macquarie University, Australia) Shusaku Tsumoto (Shimane Medical University, Japan) Seiji Yamada (Tokyo Institute of Technology, Japan) ------------------------------------------------------------------------