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Call for Papers: 8th IEEE International Conference on Data Mining (ICDM'08)

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  • ivyllaw
    ICDM 08: The 8th IEEE International Conference on Data Mining ... December 15-19, 2008 Pisa, Italy http://icdm08.isti.cnr.it/ Important Dates ... June 30,
    Message 1 of 1 , Jun 2, 2008
      ICDM '08: The 8th IEEE International Conference on Data Mining

      December 15-19, 2008
      Pisa, Italy

      Important Dates

      June 30, 2008 Deadline for tutorial proposals
      July 7, 2008 Deadline for paper submission
      September 15, 2008 Notification to authors
      October 7, 2008 Deadline for camera-ready copies
      December 15-19, 2008 Conference

      Call for Papers

      The IEEE International Conference on Data Mining series (ICDM) has
      established itself as the world's premier research conference in data
      mining, providing 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
      under review for other conferences or journals will not be considered
      for ICDM '08.

      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 at
      http://www.computer.org/portal/pages/cscps/cps/final/icdm06.xml ).
      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 '08 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 '08 accepted papers will be invited for
      possible inclusion, in expanded and revised form, in the Knowledge
      and Information Systems journal (http://www.cs.uvm.edu/~kais/)
      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 and (2) the best application
      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.

      Workshops and Tutorials

      ICDM '08 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.

      For further information on workshop and tutorial proposal
      please visit the conference website.

      ICDM Data Mining Contest

      ICDM '08 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


      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 transformation
      - Utility 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 for the KDD process
      - Visual analytics for 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


      Conference Co-chairs:

      Franco Turini (KDD Lab, Univ. Pisa, Italy)
      Carlo Zaniolo (UCLA, USA)
      Naren Ramakrishnan (Virginia Tech, USA)

      Program Committee Chairs:

      Fosca Giannotti (KDD Lab, ISTI-CNR, Italy)
      Dimitrios Gunopulos (UC Riverside, USA)

      Vice Chairs:

      Gennady Andrienko (Fraunhofer Institute Autonomous Intelligent
      Ricardo Baeza-Yates (Yahoo! Research Barcelona)
      Elena Baralis (Politecnico di Torino)
      Roberto Bayardo (Google, Inc.)
      Toon Calders (Eindhoven Technical University)
      Gautam Das (University of Texas at Arlington)
      Luc De Raedt (Leuven)
      Amol Deshpande (University of Maryland)
      Carlotta Domeniconi (George Mason University)
      Charles Elkan (University of California, San Diego)
      Tapio Elomaa (University of Helsinki)
      Wei Fan (IBM)
      Johannes Gehrke (Cornell University)
      Aris Gionis (Yahoo! Research Barcelona)
      Hillol Kargupta (University of Maryland)
      Eamonn Keogh (University of California ¡V Riverside)
      Ravi Kumar (Yahoo! Research Silicon Valley)
      Laks V.S. Lakshmanan (University of British Columbia)
      Ling Liu, Georgia Institute of Technology)
      Nikos Mamoulis (University of Hong Kong)
      Giuseppe Manco (University of Calabria)
      Heikki Mannila (Helsinki University of Technology)
      Mirco Nanni (KDD Lab, ISTI ¡V CNR)
      Srinivasan Parthasarathy (The Ohio State University)
      Jian Pei (Simon Fraser University)
      Rajeev Rastogi (Yahoo! Labs - Bangalore)
      Yucel Saygin (Sabanci University)
      Kyuseok Shim (KAIST)
      Yannis Theodoridis (University of Piraeus)
      Michalis Vazirgiannis (Athens Univ. of Economics & Business)
      Zhi-Hua Zhou (Nanjing University)

      Steering Committee Chair:

      Xindong Wu (Univ. Vermont, USA)

      Tutorials Chairs:

      Dino Pedreschi (KDD Lab, Univ. Pisa, Italy)
      Arno Siebes (Uthrecht Univ., The Netherlands)

      Workshops Chairs:

      Francesco Bonchi (KDD Lab, ISTI-CNR, Italy)
      Bettina Berendt (Humbolt Univ. Berlin, Germany)

      Award Chair:

      Katharina Morik (Univ. Dortmund, Germany)

      Panels Chair:

      Jean-Francois Boulicaut (INSA Lyon, France)

      Exhibit and Demo Chairs:

      Michail Vlachos (IBM T. J. Watson Research Center, USA)
      Haixun Wang (IBM T. J. Watson Research Center, USA)

      Publicity Chairs:

      Maurizio Atzori (KDD Lab, ISTI-CNR, Italy)
      Yan-Nei Law (Bioinformatics Institute, Singapore)

      Sponsorship Chairs:

      Antonio Gulli (Ask.com, Italy)
      Raffaele Perego (HPC Lab, ISTI-CNR, Italy)

      Local Arrangements Chairs:

      Chiara Renso (KDD Lab, ISTI-CNR, Italy)
      Tiziana Mazzone (KDD Lab, ISTI-CNR, Italy)

      Local Arrangements Team:

      Miriam Baglioni, Michele Berlingerio, Andrea Mazzoni, Mirco Nanni,
      Ruggero Pensa, Fabio Pinelli, Simone Puntoni, Salvatore Rinzivillo,
      Salvatore Ruggeri, Roberto Trasarti (KDD Lab, Univ.Pisa and ISTI-
      CNR, Italy)

      Finance Chair:

      Dino Pedreschi (KDD Lab, Univ. Pisa, Italy)

      Further Information


      surface address:
      IEEE - ICDM08
      KDD Lab, ISTI-CNR
      via A. Moruzzi, 1
      56124 Pisa, Italy

      Phone: +39 050 3152999 - 3153000 - 3153001
      Fax: +39 050 3152040
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