Advanced Techniques in Knowledge Discovery and Data Mining

Advanced Techniques in Knowledge Discovery and Data Mining

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This book presents research on some of the most recent advances in data mining and knowledge discovery, providing theory as well as its applications on practical real world applications. The methodologies discussed encompass tools like Bayesian networks, and major facets of computational intelligence paradigms. Contributions from top class researchers include: Recent trends in data mining and knowledge discovery Advanced data mining techniques in semi-conductor manufacturing Clustering and visualization in retail markets baskets Segmentation of continuous data Instance selection using evolutionary algorithms Cooperative co-evolution for data mining of Bayesian networks Knowledge discovery and data mining in medicine Satellite image classification Knowledge discovery using rough sets This book presents both practical detail and some of the most up-to-date theory in the field, useful for postgraduates and those who wish to develop applications using advanced data mining and knowledge discovery techniques.Trends. in. Data. Mining. and. Knowledge. Discovery. Krzysztof J. Cios1, 2, 3 and Lukasz A. Kurgan4 1 University of ... at Denver and Health Sciences Center, Department of Computer Science and Engineering, Campus Box 109, Denver, COanbsp;...

Title:Advanced Techniques in Knowledge Discovery and Data Mining
Author: Nikhil Pal
Publisher:Springer Science & Business Media - 2007-12-31

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