[Apologies if you receive this more than once] ICDM '03: The Third IEEE International Conference on Data Mining ================================================================ Sponsored by the IEEE Computer Society Melbourne, Florida, USA November 19 - 22, 2003 Home Page: http://www.cs.uvm.edu/~xwu/icdm-03.html Call for Papers *************** The 2003 IEEE International Conference on Data Mining (IEEE ICDM '03) provides a leading international 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, and the tutorial program will cover emerging data mining technologies and the state-of-the-art of data mining developments. 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 of data mining - Data mining and machine learning algorithms and methods in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis), and in new areas - Mining text and semi-structured data, and mining temporal, spatial and multimedia data - Data and knowledge representation for data mining - Complexity, efficiency, and scalability issues in data mining - Data pre-processing, data reduction, feature selection and feature transformation - Post-processing of data mining results - 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 - Human-machine interaction and visualization in data mining, and visual data mining - High performance and distributed data mining - Pattern recognition and scientific discovery - Quality assessment and interestingness metrics of data mining results - Process-centric data mining and models of data mining process - Security, privacy and social impact of data mining - Data mining applications in electronic commerce, bioinformatics, computer security, Web intelligence, intelligent learning database systems, finance, marketing, healthcare, telecommunications, and other fields Conference Publications and ICDM Best Paper Awards ================================================== High quality papers in all data mining areas are solicited. Papers exploring new directions will receive especially careful and supportive reviews. There are two types of paper submissions for IEEE ICDM '03: (1) research-track submissions and (2) industry-track submissions. All paper submissions will be handled electronically. Please use the Submission Form at the ICDM '03 webpage to submit your paper. For research-track submissions, papers should be limited to a maximum of 6,000 words (approximately 20 A4 pages), and will be reviewed by the Program Committee 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. For industry-track submissions, please make sure that the following conditions are met: (a) Papers cannot exceed 3,000 words, (b) At least one author of each industry-track paper should be from an industrial company, and the paper should be about industrial or other real-world applications of data mining, AND (c) a description of how the application has been conceived, developed and deployed must be provided. (Papers that present interesting data mining applications but do not qualify as industry-track submissions according to the these criteria can be submitted to the research track.) The conference will provide an opportunity for the authors of accepted industry-track papers to showcase their efforts in front of the world's finest data miners via a software demonstration. All papers submitted to the industry track will also be reviewed by the Program Committee, and each accepted industry-track paper will be allocated 4 pages in the conference proceedings by the IEEE Computer Society Press. A selected number of IEEE ICDM '03 accepted papers will be invited for possible inclusion, in an expanded and revised form, in the Knowledge and Information Systems journal (http://www.cs.uvm.edu/~xwu/kais.html) by Springer-Verlag. IEEE ICDM Best Paper Awards will be conferred at the conference on the authors of (1) the best research paper and (2) the best application paper. Papers from the industry track and application-oriented papers from the research track will both be considered for the best application award. Important Dates =============== May 15, 2003 Workshop proposals due June 10, 2003 Research-track paper submissions Industry-track paper submissions Tutorial proposals June 30, 2003 Panel proposals due August 15, 2003 Paper acceptance notices September 10, 2003 Final camera-readies November 19, 2003 Workshops Tutorials November 20-22, 2003 Conference All paper submissions will be handled electronically. Detailed instructions will be provided on the conference home page at http://www.cs.uvm.edu/~xwu/icdm-03.html Conference Chair: ================= Jude Shavlik, University of Wisconsin - Madison ([EMAIL PROTECTED]) Program Committee Chairs: ========================= Xindong Wu, University of Vermont ([EMAIL PROTECTED]) Alex Tuzhilin, New York University ([EMAIL PROTECTED]) Industry Track Chair: ===================== Roberto Bayardo, IBM Almaden Research Center, USA ([EMAIL PROTECTED]) Panels Chair: ============= Nick Cercone, Dalhousie University ([EMAIL PROTECTED]) Workshops Chair: ================ David Page, University of Wisconsin - Madison ([EMAIL PROTECTED]) Tutorials Chair: ================ Martin Ester, Simon Fraser University ([EMAIL PROTECTED]) Publicity Chair: ================ Balaji Padmanabhan, University of Pennsylvania ([EMAIL PROTECTED]) Local Arrangements Chair: ========================= Philip Chan, Florida Institute of Technology ([EMAIL PROTECTED]) Web Master: =========== Ning Zhong, Maebashi Institute of Technology ([EMAIL PROTECTED]) ICDM Steering Committee ======================= Xindong Wu (Chair), University of Vermont, USA Max Bramer, University of Portsmouth, UK Nick Cercone, Dalhousie University, Canada Ramamohanarao Kotagiri, University of Melbourne, Australia Vipin Kumar, University of Minnesota, USA Katharina Morik, University of Dortmund, Germany Gregory Piatetsky-Shapiro, KDnuggets, USA Philip S. Yu, IBM T.J. Watson Research Center, USA Benjamin W. Wah, University of Illinois, Urbana-Champaign, USA Ning Zhong, Maebashi Institute of Technology, Japan Further Information =================== Professor Xindong Wu (ICDM 2003) Department of Computer Science, University of Vermont, 351 Votey Building, Burlington, VT 05405, USA Phone: +1-802-656-7839 Fax: +1-802-656-0696 E-mail: [EMAIL PROTECTED]
