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47231st cfp: ICDM'09 - the 9th IEEE International Conference on Data Mining - December 6-9, 2009 Miami, U.S.A

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  • ICDM'09 Publicity Chairs
    Feb 2, 2009
      [Sorry for crossing posting.]

      ICDM'09: The 9th IEEE International Conference on Data Mining
      Sponsored by the IEEE Computer Society

      December 6-9, 2009
      Miami, U.S.A.

      Important Dates
      April 13, 2009 Deadline for workshop proposals
      June 26, 2009 Deadline for paper submission,
      tutorial submission, and
      panel proposals
      September 4, 2009 Notification to authors
      September 28, 2009 Deadline for camera-ready copies
      December 6-9, 2009 Conference

      Call for Papers
      The IEEE International Conference on Data Mining (ICDM) has
      established itself as the world's premier research conference in data
      mining. The 2009 edition of ICDM provides a leading forum for
      presentation of original research results, as well as exchange and
      dissemination of innovative, practical development experiences. The
      conference covers all aspects of data mining, including algorithms,
      software and systems, and applications. In addition, ICDM draws
      researchers and application developers from a wide range of data
      mining related areas such as statistics, machine learning, pattern
      recognition, databases and data warehousing, data visualization,
      knowledge-based systems, and high performance computing. By promoting
      novel, high quality research findings, and innovative solutions to
      challenging data mining problems, the conference seeks to continuously
      advance the state-of-the-art in data mining. Besides the technical
      program, the conference will feature workshops, tutorials, panels, and
      the ICDM data mining contest.

      Paper Submissions
      High quality papers in all data mining areas are solicited. Original
      papers exploring new directions will receive especially careful
      consideration. Papers that have already been accepted or are
      currently under review for other conferences or journals will not be
      considered for ICDM'09.

      Paper submissions should be limited to a maximum of 10 pages in the
      IEEE 2-column format, the same as the camera-ready format (see the
      IEEE Computer Society Press Proceedings Author Guidelines
      All papers will be reviewed by the Program Committee on the basis of
      technical quality, relevance to data mining, originality,
      significance, and clarity. A double blind review process will be
      adopted. Authors should avoid using identifying information in the
      text of the paper. A Submission Form to submit your work will be
      announced on the ICDM'09 website.

      Accepted papers will be published in the conference proceedings by the IEEE
      Computer Society Press and accorded oral presentation times in the main
      conference. Submissions accepted as regular papers will be allocated 10
      pages in the proceedings. Submissions accepted as short papers will be
      allocated 6 pages in the proceedings and will have a shorter presentation
      time at the conference than regular papers.

      A selected number of IEEE ICDM'09 accepted papers will be invited for
      possible inclusion, in expanded and revised form, in the Knowledge and
      Information Systems journal published by Springer-Verlag.

      ICDM Best Paper Awards
      IEEE ICDM Best Paper Awards will be conferred at the conference on the
      authors of (1) the best research paper, (2) the best application
      paper, and (3) the best student paper. Strong, foundational results
      will be considered for the best research paper award and
      application-oriented submissions will be considered for the best
      application paper award. The best student paper award will be given to
      the authors of the best paper written solely by one or more students.

      Workshops and Tutorials
      ICDM'09 will host short and long tutorials as well as workshops that
      focus on new research directions and initiatives. All accepted
      workshop papers will be included in a separate workshop proceedings
      published by the IEEE Computer Society Press.

      ICDM Data Mining Contest
      ICDM'09 will host a data mining contest to challenge researchers and
      practitioners with a real practical data mining problem. For further
      details on proposals and expression of interest, please see the Call
      for Data Mining Contest Proposals.

      Topics of Interest
      * Data mining foundations
      - Novel data mining algorithms in traditional areas (such as
      classification, regression, clustering, probabilistic modeling,
      pattern discovery, and association analysis)
      - Models and algorithms for new, structured, data types, such as
      arising in chemistry, biology, environment, and other scientific
      - Developing a unifying theory of data mining
      - Mining sequences and sequential data
      - Mining spatial and temporal datasets
      - Mining textual and unstructured datasets
      - Distributed data mining
      - High performance implementations of data mining algorithms
      - Privacy and anonymity-preserving data analysis
      * Mining in emerging domains
      - Stream data mining
      - Mining moving object data, RFID data, and data from sensor networks
      - Ubiquitous knowledge discovery
      - Mining multi-agent data
      - Mining and link analysis in networked settings: web, social and
      computer networks, and online communities
      - Mining the semantic web
      - Data mining in electronic commerce, such as recommendation,
      sponsored web search, advertising, and marketing tasks
      * Methodological aspects and the KDD process
      - Data pre-processing, data reduction, feature selection, and feature
      - Quality assessment, interestingness analysis, and post-processing
      - Statistical foundations for robust and scalable data mining
      - Handling imbalanced data
      - Automating the mining process and other process related issues
      - Dealing with cost sensitive data and loss models
      - Human-machine interaction and visual data mining
      - Integration of data warehousing, OLAP and data mining
      - Data mining query languages
      - Security and data integrity
      * Integrated KDD applications, systems, and experiences
      - Bioinformatics, computational chemistry, ecoinformatics
      - Computational finance, online trading, and analysis of markets
      - Intrusion detection, fraud prevention, and surveillance
      - Healthcare, epidemic modeling, and clinical research
      - Customer relationship management
      - Telecommunications, network and systems management
      - Sustainable mobility and intelligent transportation systems

      Organizing Committee
      Conference Co-Chairs:
      Sanjay Ranka, University of Florida
      Philip S. Yu, University of Illinois at Chicago

      Program Co-Chairs:
      Hillol Kargupta, University of Maryland, Baltimore County
      Wei Wang, University of North Carolina Chapel Hill

      Steering Committee:
      Xindong Wu (Chair), University of Vermont, USA
      Nick Cercone, York University, Canada
      David J. Hand, Imperial College, London, UK
      Ramamohanarao Kotagiri, University of Melbourne, Australia
      Vipin Kumar, University of Minnesota, USA
      Heikki Mannila, University of Helsinki, Finland
      Gregory Piatetsky-Shapiro, KDnuggets, USA
      Benjamin W. Wah, University of Illinois, Urbana-Champaign, USA
      Philip S. Yu, IBM T.J. Watson Research Center, USA
      Ning Zhong, Maebashi Institute of Technology, Japan

      Local Arrangements Chair:
      Tao Li, Florida International University

      Finance Chair:
      Vagelis Hristidis, Florida International University

      Awards Committee:
      Jiawei Han (Chair), University of Illinois at Urbana-Champaign, USA
      James Bailey, University of Melbourne, Australia
      Wei Fan, IBM T.J. Watson Research Center, USA
      Bart Goethals, University of Antwerp, Belgium
      Minos N. Garofalakis, Technical University of Crete, Greece
      Hillol Kargupta, University of Maryland at Baltimore County, USA
      Wei Wang, University of North Carolina at Chapel Hill, USA

      Panels Chair:
      Haym Hirsh, NSF and Rutgers

      Workshop Co-Chairs:
      Yucel Saygin, Sabanci University
      Jeffrey Xu Yu, CUHK

      Tutorials Chair:
      Sanghamitra Bandyopadhyay, Indian Statistical Institute

      ICDM Data Mining Contest Chair:
      Qiang Yang, HKUST

      Sponsorship Chair:
      To be announced

      Publicity Co-Chairs:
      Ina Lauth, Fraunhofer IAIS (Europe)
      Kun Liu, IBM Almaden Research Center (North America)

      Exhibit and Demo Chairs
      To be announced

      Further Information

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