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ADMA 2013 : The 9th International Conference on Advanced Data Mining and Applications

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Conference Series : Advanced Data Mining and Applications
 
Link: http://www.adma2013.org/
 
When Dec 14, 2013 - Dec 16, 2013
Where Hangzhou, Zhejiang
Submission Deadline Sep 10, 2013
Notification Due Oct 10, 2013
Final Version Due Oct 15, 2013
Categories    data mining
 

Call For Papers


Call for papers

Online Submission is available! »detail

ADMA 2013 will take place in Zhejiang University, Hangzhou, 14th ‐ 16th December 2013. It is our pleasure to invite you to contribute papers, register and participate at ADMA 2013.

The conference aims at bringing together the experts on data mining from around the world, and providing a leading international forum for the dissemination of original research findings in data mining, spanning applications, algorithms, software and systems, as well as different applied disciplines with potential in data mining.

The proceedings of the conference will be published by Springer in its Lecture Notes in Computer Science series, and indexed by EI. A selected number of the accepted papers will be expanded and revised for possible inclusion in Neurocomputing (indexed by SCI) and other international journals indexed by EI or SCI.

Topics of interest include but not limited

Advanced Data Ming
Social network mining
Economic data mining
Parallel and distributed data mining
Data stream mining
Graph mining
Mass data mining
Document mining
Image mining
Multimedia mining
Biomedical data mining
Complex data mining
Web mining
High performance data mining
Data mining visualization
Security and privacy issues
Other issues on data mining

Applications
Social network application
Data mining systems in finance, economic, e-commerce
Emerging applications of mass Data mining
Empirical study of data mining algorithm
Parallel data mining application
DNA sequencing, Bioinformatics, Genomics and biometrics
E-commerce and Web service
Medical informatics
Disaster prediction
Financial market analysis
Data mining for education
Intelligent systems

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