DKMP 2013 - The International workshop on Data Mining & Knowledge Management Process (DKMP-2013)
Topics/Call fo Papers
The International workshop on Data Mining & Knowledge Management Process (DKMP-2013) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Data Mining and knowledge management process. The goal of this workshop is to bring together researchers and practitioners from academia and industry to focus on understanding Modern data mining concepts and establishing new collaborations in these areas.
Authors are solicited to contribute to the workshop by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of ata Mining and knowledge management process. Topics of interest include, but are not limited to, the following
Data mining foundations
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
Databases, Bioinformatics, Biometrics, Image analysis, Financial modeling, Forecasting, Classification, Clustering, Social Networks, Educational data mining
Knowledge Processing
Data and knowledge representation, Knowledge discovery framework and process, including pre- and post-processing, Integration of data warehousing, OLAP and data mining, Integrating constraints and knowledge in the KDD process , Exploring data analysis, inference of causes, prediction, Evaluating, consolidating, and explaining discovered knowledge, Statistical techniques for generation a robust, consistent data model, Interactive data exploration/visualization and discovery, Languages and interfaces for data mining, Mining Trends, Opportunities and Risks, Mining from low-quality information sources
Authors are solicited to contribute to the workshop by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of ata Mining and knowledge management process. Topics of interest include, but are not limited to, the following
Data mining foundations
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
Databases, Bioinformatics, Biometrics, Image analysis, Financial modeling, Forecasting, Classification, Clustering, Social Networks, Educational data mining
Knowledge Processing
Data and knowledge representation, Knowledge discovery framework and process, including pre- and post-processing, Integration of data warehousing, OLAP and data mining, Integrating constraints and knowledge in the KDD process , Exploring data analysis, inference of causes, prediction, Evaluating, consolidating, and explaining discovered knowledge, Statistical techniques for generation a robust, consistent data model, Interactive data exploration/visualization and discovery, Languages and interfaces for data mining, Mining Trends, Opportunities and Risks, Mining from low-quality information sources
Other CFPs
- 2013 International Symposium on Computational and Business Intelligence (ISCBI 2013)
- Second international workshop on cloud computing : Services and architecture(Cloud- 2013)
- The Second International Youth Mental Health Conference
- International Conference on Complexity, Cybernetics, and Informing Science and Engineering: CCISE 2013
- 3rd International Conference on Design and Modeling in Science, Education, and Technology: DeMset 2013
Last modified: 2013-02-06 22:24:18