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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

The Industrial conferences on Data Mining ICDM is 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
  • Civil Engineering
  • E-Commerce (Mining Logfiles)
  • Biotechnology
  • Quality Management
  • Multimedia Data (Image, Video, Text, Signals)
  • Web-Mining
  • Intrusion Detection in Networks
  • Criminology
  • Telecommunications
  • Social Sciences
  • Forensic Data Analysis
  • Drug Discovery
  • Agriculture
  • Smart Maintenance
  • Legal Court Cases
  • Energy Industries
  • Logistics and Supply Chain Management
  • Finance and Stock Markets
  • Meterology, Blockchain and more ...

     

    Theoretical and Application-oriented Topics in ...

    • Big Data and Algorithm for Big Data
    • Case-Based Reasoning and Similarity-Based Reasoning
    • Clustering
    • Classification & Prediction
    • Statistical Learning
    • Association Rules
    • 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 Energy Industry
    • Design of Experiment
    • Strategy of Experimentation
    • Capability Indices
    • Business Intelligence and Data Mining
    • 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. Papers will appear in the conference proceedings.

    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.

    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, Germany
    Committee
    Plamen Angelov Lancaster University, United Kingdom
    Yingying Chen Rutgers University, USA
    Antonio Dourado University of Coimbra, Portugal
    Stefano Ferilli University of Bari, Italy
    Warwick Graco Analytics Shed, Australia
    Aleksandra Gruca Silesian University of Technology
    Pedro Isaias The University of New South Wales, Australia
    Piotr Jedrzejowicz Gdynia Maritime University, Poland
    Martti Juhola University of Tampere, Finland
    Janusz Kacprzyk Polish Academy of Sciences, Poland
    Ling Liu Georgia Institute of Technology, USA
    Eduardo F. Morales National Institute of Astrophysics, Optics, and Electronics, Mexico
    Wieslaw Paja University of Rzeszow, Poland
    Victor Sheng University of Central Arkansas, USA
    Iren Todorova Valova University of Massachusetts Dartmouth, USA

    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