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ICDM 2019 : 19th Industrial Conference on Data Mining ICDM 2019


Conference Series : Industrial Conference on Data Mining
When Jul 17, 2019 - Jul 21, 2019
Where New York
Submission Deadline Jan 15, 2019
Notification Due Mar 18, 2019
Final Version Due Apr 5, 2019
Categories    data mining   big data   application of data mininig   multimedia data mining

Call For Papers

The deadline is extended to February 15th, 2019.

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 ...

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
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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