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ICDM Call for Paper

The Aim of the Conference
Topics of the conference
Program Committee

The Aim of the Conference

This conference is the thirteen 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 and Similarity-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
    • Online Targeting & Controlling
    • Behavioral Targeting
    • Meteorological Data Mining
    • Data Mining in Logistics
    • Data Mining in Energy Industry
    • Business Intelligence and Data Mining
    • Big Data and Algorithm for Big Data
    • Legal Informatics and Data Mining
    • Data Mining for Logistic and Supply Chain Management


    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.

    Please submit your Long Paper to the CMS-System.

    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.

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

    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 to 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

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    Program Committee

    Petra Perner IBaI Leipzig, Germany
    Ajith Abraham Machine Intelligence Research Labs (MIR Labs), USA
    Brigitte Bartsch-Spörl BSR Consulting GmbH, Germany
    Orlando Belo University of Minho, Portugal
    Bernard Chen University of Central Arkansas, USA
    Antonio Dourado University of Coimbra, Portugal
    Jeroen de Bruin Medical University of Vienna, Austria
    Stefano Ferilli University of Bari , Italy
    Geert Gins KU Leuven, Belgien
    Warwick Graco ATO, Australia
    Aleksandra Gruca Silesian University of Technology, Poland
    Hartmut Ilgner Council for Scientific and Industrial Research, South Africa
    Pedro Isaias Universidade Aberta (Portuguese Open University), Portugal
    Piotr Jedrzejowicz Gdynia Maritime University, Poland
    Martti Juhola University of Tampere, Finland
    Janusz Kacprzyk Polish Academy of Sciences, Poland
    Mehmed Kantardzic University of Louisville, USA
    Eduardo F. Morales INAOE, Ciencias Computacionales, Mexico
    Armand Prieditris Newstar Labs, USA
    Rainer Schmidt University of Rostock, Germany
    Victor Sheng University of Central Arkansas, USA
    Kaoru Shimada Section of Medical Statistics, Fukuoka Dental College, Japan
    Gero Szepannek Santander Consumer Bank, Germany

    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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