Conference Information
ICDM' 2017 : Industrial Conference on Data Mining
Submission Date:
2017-02-15 Extended
Notification Date:
Conference Date:
New York City, New York, USA
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Conference Location
Call For Papers
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.

Topics of the conference

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

Applications of Data Mining in ...

    E-Commerce (Mining Logfiles)
    Quality Management
    Multimedia Data (Image, Video, Text, Signals)
    Intrusion Detection in Networks

    Theoretical and Application-oriented Topics in ...
        Case-Based Reasoning and Similarity-Based Reasoning
        Classification & Prediction
        Statistical Learning
        Association Rules
        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
        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
        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.

    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 
Last updated by Dou Sun in 2017-01-30
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