Download Advances in Data Mining. Applications and Theoretical by Giorgio Giacinto (auth.), Petra Perner (eds.) PDF

By Giorgio Giacinto (auth.), Petra Perner (eds.)

ISBN-10: 3642144004

ISBN-13: 9783642144004

These are the lawsuits of the 10th occasion of the economic convention on info Mining ICDM held in Berlin (www.data-mining-forum.de). For this variation this system Committee bought one hundred seventy five submissions. After the pe- overview method, we permitted forty nine top quality papers for oral presentation which are incorporated during this publication. the subjects variety from theoretical points of information mining to app- cations of knowledge mining equivalent to on multimedia facts, in advertising, finance and telec- munication, in drugs and agriculture, and in method regulate, and society. prolonged types of chosen papers will seem within the foreign magazine Trans- tions on computing device studying and information Mining (www.ibai-publishing.org/journal/mldm). Ten papers have been chosen for poster shows and are released within the ICDM Poster continuing quantity by way of ibai-publishing (www.ibai-publishing.org). at the side of ICDM 4 workshops have been hung on distinct sizzling applicati- orientated issues in info mining: information Mining in advertising DMM, information Mining in LifeScience DMLS, the Workshop on Case-Based Reasoning for Multimedia information CBR-MD, and the Workshop on information Mining in Agriculture DMA. The Workshop on info Mining in Agriculture ran for the 1st time this 12 months. All workshop papers should be released within the workshop lawsuits by means of ibai-publishing (www.ibai-publishing.org). chosen papers of CBR-MD may be released in a distinct factor of the foreign magazine Transactions on Case-Based Reasoning (www.ibai-publishing.org/journal/cbr).

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Extra resources for Advances in Data Mining. Applications and Theoretical Aspects: 10th Industrial Conference, ICDM 2010, Berlin, Germany, July 12-14, 2010. Proceedings

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Bayesian Model Averaging in Proprtional Hazard Models: Assessing the Risk of a Stroke. : Bayesian Model Averaging: A Tutorial. : Bayesian Model Averaging: Development of an Improved Multi-Class, Gene Selection and Classification Tool for Microarray Data. : Applied Survival Analysis: Regression Modeling of Time to Event Data, 2nd edn. Wiley Series in Probability and Statistics. : Evolutionary Archaeology: Current Status and Future Prospects. : Language Trees and Zipping. : Tales of Tools and Trees: Phylogenetic Analysis and Explanation in evolutionary Archeology.

In: Proceedings of the Ninth National Conference on Artificial Intelligence, pp. 547–552. AAAI Press, Menlo Park (1991) 9. : Correlation-based feature selection for discrete and numeric class machine learning. In: Proceeding of the 17th International Conference on Machine Learning, pp. 359–366. Morgan Kaufmann, San Francisco (2000) 10. : Efficient feature selection via analysis of relevance and redundancy. J. Mach. Learn. Res. 5, 1205–1224 (2004) 11. : Efficient dimensionality reduction approaches for feature selection.

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