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ICDM Call for Paper

The Aim of the Conference
Topics of the conference
Program Committee
Deadlines

The Aim of the Conference

This conference is the tenth conference in a series of industrial conferences on Data Mining that will be held on yearly basis. Experts from different fields will present their applications and the results obtained by applying data mining. Besides that, newcomers in the field can get a fast introduction to Data Mining by taking the tutorial running in connection with the conference. In a problem/solution hour you will have the opportunity to present your application and ask for support by others or for cooperation in solving the problem.

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Topics of the conference

Paper submissions should be related but not limited to any of the following topics:

Applications of Data Mining in ...

  • Marketing
  • Medicine
  • E-Commerce (Mining Logfiles)
  • Biotechnology
  • Quality Management
  • Multimedia Data (Image, Video, Text, Signals)
  • Web-Mining
  • Intrusion Detection in Networks
  • Agriculture
  • Meterology

     

    Theoretical and Application-oriented Topics in ...

    • Case-Based Reasoning
    • Clustering
    • Classification & Prediction
    • Statistical Learning
    • Association Rules
    • Telecommunication
    • Design of Experiment
    • Strategy of Experimentation
    • Capability Indices
    • Deviation and Novelty Detection
    • Control Charts
    • Conceptional Learning
    • Goodness Measures and Evaluation (e.g. false discovery rates)
    • Inductive Learning Including Decision Tree and Rule Induction Learning
    • Organisational Learning and Evolutional Learning
    • Sampling Methods
    • Similarity Measures and Learning of Similarity
    • Statistical Learning and Neural Net Based Learning
    • Visualization and Data Mining
    • Deviation and Novelty Detection
    • Feature Grouping, Discretization, Selection and Transformation
    • Feature Learning
    • Frequent Pattern Mining
    • Learning and Adaptive Control
    • Learning/Adaption of Recognition and Perception
    • Learning for Handwriting Recognition
    • Learning in Image Pre-Processing and Segmentation
    • Mining Financial or Stockmarket Data
    • Mining Motion from Sequence
    • Subspace Methods
    • Support Vector Machines
    • Time Series and Sequential Pattern Mining
    • Desirabilities
    • Graph Mining
    • Agent Data Mining
    • Applications in Software Testing
    • Knowledge Management
    • Mining Social Media

     

    Authors can submit their paper in long or short version.

    Long Paper

    The paper must be formatted in the Springer LNCS format. They should have at most 15 pages. The papers will be reviewed by the program committee. Accepted long papers will be published by Springer Verlag in the LNAI Series in the book Advances in Data Mining, edited by Petra Perner.

    Short Paper

    Short papers are also welcome and can be used to describe work in progress or project ideas. They can have 5 to max. 15 pages, formatted in Springer LNCS format. Accepted short papers will be presented as poster in the poster session. They will be published in a special poster proceedings book.

    Industry Papers

    We encourage industrial people to show their applications and projects for data mining. This work can be presented as poster during the poster session in the special industry track. Please submit a one page abstract including title, name and affilation.

    Please submit your Short Paper and your Industry Paper through the CMS-System.

    Notice that the submission is NOT the registration to the conference! Please fill out the registration form.

    If you have any problem with the submission, please contact via email info@data-mining-forum.de.

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    Program Committee

    Chair
    Petra Perner IBaI Leipzig, Germany
    Committee
    Klaus-Peter Adlassnig Medical University of Vienna, Austria
    Andrea Ahlemeyer-Stubbe ENBIS, Amsterdam
    Klaus-Dieter Althoff University of Hildesheim, Germany
    Chid Apte IBM Yorktown Heights, USA
    Eva Armengol IIA CSIC, Spain
    Bart Baesens KU Leuven, Belgium
    Brigitte Bartsch-Spörl BSR Consulting GmbH, Germany
    Isabelle Bichindaritz University of Washington, USA
    Leon Bobrowski Bialystok Technical University, Poland
    Marc Boullé France Télécom, France
    Henning Christiansen Roskilde University, Denmark
    Frans Coenen University of Liverpool, United Kingdom
    Shirley Coleman University of Newcastle, United Kingdom
    Juan M. Corchado Universidad de Salamanca, Spain
    Antonio Dourado University of Coimbra, Portugal
    Peter Funk Mälardalen University, Sweden
    Brent Gordon NASA Goddard Space Flight Center, USA
    Gary F. Holness Delaware State University, USA
    Eyke Hüllermeier University of Marburg, Germany
    Piotr Jedrzejowicz Gdynia Maritime University, Poland
    Janusz Kacprzyk Polish Academy of Sciences, Poland
    Mehmed Kantardzic University of Louisville, USA
    Ron Kenett KPA Ltd., Israel
    David Manzano Macho Ericsson Research Spain, Spain
    Mineichi Kudo Hokkaido University, Japan
    Eduardo F. Morales INAOE, Ciencias Computacionales, Mexico
    Stefania Montani Università del Piemonte Orientale, Italy
    Jerry Oglesby SAS Institute Inc., USA
    Eric Pauwels CWI Utrecht, The Netherlands
    Mykola Pechenizkiy Eindhoven University of Technology, The Netherlands
    Ashwin Ram Georgia Institute of Technology, USA
    Tim Rey Dow Chemical Company, USA
    Rainer Schmidt University of Rostock, Germany
    Yuval Shahar Ben Gurion University, Israel
    David Taniar Monash University, Australia
    Stijn Viaene KU Leuven, Belgium
    Rob A. Vingerhoeds Ecole Nationale d'Ingénieurs de Tarbes, France
    Yanbo J. Wang Information Management Center, China Minsheng Banking Corporation Ltd., China
    Claus Weihs University of Dortmund, Germany
    Terry Windeatt University of Surrey, UK

    An industrial exhibition running in connection with the conference will give you the opportunity to look at new trends and systems in industry and to present your research to industry.

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    Deadlines

    more Information