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Successes and new directions in data mining.


Successes and new directions in data mining.

Ed. by Florent Messeglia et al.

Information Science Reference


369 pages




This work looks at theoretical frameworks, challenges, and potential and existing solutions concerning knowledge extraction, with emphasis on real-world applications. Fuzzy set theory, clustering algorithms, semi-supervised clustering, modeling and managing data mining patterns, and sequence mining are some of the areas explored. Specific topics covered include mined patterns for XML query answering, deterministic motif mining in protein databases, data mining and knowledge discovery in metabolomics, handling local patterns in collaborative structuring, and pattern mining and clustering on image databases. The book will be useful as a reference for researchers, practitioners, and students in fields related to data mining and data warehousing. Messeglia is affiliated with Project AxIS-INRIA, France.

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Publication:SciTech Book News
Article Type:Brief Article
Date:Mar 1, 2008
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