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WP 8: Scientific SectorKnowledge Discovery is a interdisciplinary area of research, drawing on results from database theory, machine learning, statistics, and other disciplines. It is important that it remains in close contact with the research areas from which it originated, both keeping them informed on advances in Knowledge Discovery and being informed in turn on advances in these disciplines. Additionally, Knowledge Discovery techniques are highly relevant for research in other scientific fields such as:
These objectives will be achieved by KDNet Community by
Scientific sector workshops are held in conjunction with public sector or industry sector symposia, or on conferences of neighboring disciplines. |
Latest newsFirst Interdisciplinary Workshop on MOBILITY, DATA MINING AND PRIVACY Workshop Mobility, Data mining and privacy *** CALL FOR PARTICIPATION First Interdisciplinary Workshop on MOBILITY, DATA MINING AND PRIVACY Preserving anonymity in [...]CALL FOR PAPERS: CompLife 2007 CALL FOR PAPERS: CompLife '07 Following the success of the 1st and 2nd International Symposia on Computational Life Science in Konstanz and [...] International Workshop on Knowledge Discovery in Life Science International Workshop on Knowledge Discovery in Life Science Literature (KDLL 2006) to be held in conjunction with PAKDD 2006, Singapore, [...] Journal: /Concurrency and Computation: Practice and Experience/. Special issue on computational analysis and exploration of distributed data. Deadline for submission: 15 Jan [...] CFP special session “Applications of Machine Learning in Medicine and Biology” at ICMLA’05 & special issue IEEE EMB maga => CALL FOR PAPERS for Special Session on <= “Applications of Machine Learning in Medicine and Biology” of 4th Int. Conf. on Machine Learning and [...] CFP: ICDM Workshop - Data Mining and the Grid The Data Mining and the Grid workshop focuses on Algorithmical and Architectural aspects of data mining in grid environments. Further details can be [...] CALL FOR PAPERS: Data Mining in Grid Computing Environments Submission deadline: 30 September 2005. Call for Papers available at: http://www.datamininggrid.org/news Guest editors: Werner Dubitzky [...] Links
MLNet
- Machine Learning Network Online Information System
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