38.txt

来自「This complete matlab for neural network」· 文本 代码 · 共 234 行

发信人: GzLi (笑梨), 信区: DataMining
标  题: CFP：IEEE dataming
发信站: 南京大学小百合站 (Mon Feb 17 18:15:22 2003)


[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
    ([e-mail])

  Program Committee Chairs:
  =========================

    Xindong Wu, University of Vermont
    ([e-mail])

    Alex Tuzhilin, New York University
    ([e-mail])

  Industry Track Chair:
  =====================

    Roberto Bayardo, IBM Almaden Research Center, USA
    ([e-mail])

  Panels Chair:
  =============

    Nick Cercone, Dalhousie University
    ([e-mail])

  Workshops Chair:
  ================

    David Page, University of Wisconsin - Madison
    ([e-mail])

  Tutorials Chair:
  ================

    Martin Ester, Simon Fraser University
    ([e-mail])

  Publicity Chair:
  ================

    Balaji Padmanabhan, University of Pennsylvania
    ([e-mail])

  Local Arrangements Chair:
  =========================

    Philip Chan, Florida Institute of Technology
    ([e-mail])

  Web Master:
  ===========

    Ning Zhong, Maebashi Institute of Technology
    ([e-mail])

  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: [phone]
    Fax: [phone]
    E-mail: [e-mail]

-------------------
MLnet community list
http://www.mlnet.org/mlnet2/services/mlnet-community.html

.
--
              ***  端庄厚重 谦卑含容 事有归着 心存济物  ***
数据挖掘  http://[e-mail]/

※ 来源:．南京大学小百合站 bbs.nju.edu.cn．[FROM: 211.80.38.17]