DM 2010 - IADIS EUROPEAN CONFERENCE ON DATA MINING 2010

IADIS EUROPEAN CONFERENCE ON DATA MINING 2010
Freiburg, Germany, 28 ? 30 July 2010
(http://www.datamining-conf.org/)
part of the IADIS Multi Conference on Computer Science and Information Systems (MCCSIS 2010)
Freiburg, Germany 26 ? 31 July 2010
(http://www.mccsis.org)

* Conference background and goals
The European Conference on Data Mining (ECDM’10) is aimed to gather researchers and application developers from a wide range of data mining related areas such as statistics, computational intelligence, pattern recognition, databases and visualization. ECDM’10 is aimed to advance the state of the art in data mining field and its various real world applications.
ECDM’10will provide opportunities for technical collaboration among data mining and machine learning researchers around the globe.

* Format of the Conference
The conference will comprise of invited talks and oral presentations. The proceedings of the conference will be published in the form of a book and CD-ROM with ISBN, and will be available also in the
IADIS Digital Library (accessible on-line).

* Best Papers
Selected authors of best papers will be invited to submit extended versions of their papers to selected journals (i.e. IADIS International Journal on Computer Science and Information Systems - ISSN: 1646-3692) including journals from INDERSCIENCE Publishers.

* Types of submissions
Full and Short Papers, Reflection Papers, Posters/Demonstrations, Tutorials, Panels and Doctoral Consortium.
All submissions are subject to a blind refereeing process.

* Topics related to Data Mining are of interest. These include, but are not limited to the following areas:
- Core Data Mining Topics (Main area)
- Parallel and distributed data mining algorithms
- Data streams mining
- Graph mining
- Spatial data mining
- Text video, multimedia data mining
- Web mining
- Pre-processing techniques
- Visualization
- Security and information hiding in data mining
- Data Mining Applications (Main area)
- Databases
- Bioinformatics
- Biometrics
- Image analysis
- Financial modeling
- Forecasting
- Classification
- Clustering
- Social Networks