Data Mining and Knowledge Management
Publication year: 2005
ISBN: 978-3-540-30537-8
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Knowledge management for enterprise: These papers address various issues related to the application of knowledge management in corporations using various techniques. A particular emphasis here is on coordination and cooperation. • Risk management: Better knowledge management also requires more advanced techniques for risk management, to identify, control, and minimize the impact of uncertain events, as shown in these papers, using fuzzy set theory and other approaches for better risk management. • Integration of data mining and knowledge management: As indicated earlier, the integration of these two research fields is still in the early stage. Nevertheless, as shown in the papers selected in this volume, researchers have endearored to integrate data mining methods such as neural networks with various aspects related to knowledge management,
Subject: Computer Science, bioinformatics, bromedical data analysis classification, clustering, data analysis, data mining, data visualisation, enterprise knowledge systems, knowledge discovery, knowledge management, microarray data analysis, multimedia data mining, risk analysis
