Science/Engineering Survey of Text Mining I: Clustering, Classification, and Retrieval (0387955631)

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Survey of Text Mining I: Clustering, Classification, and Retrieval

Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory. As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowledge extraction or creation from text requires systematic yet reliable processing that can be codified and adapted for changing needs and environments. This book will draw upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. It will address document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text.

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	Science/Engineering Classification and Clustering for Knowledge Discovery Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KLanguage: EnglishISBN: 3540260730Paperback: 356 pagesData: Sep 2005Format: CHMDescription: . . . . \| DivShare \| - (6.5M)
	Technical Classification and Clustering for Knowledge Discovery (Studies in Computational Intelligence) Publisher: Springer; 1 editionLanguage: englishISBN: 3540260730Paperback: 356 pagesData: October 6, 2005Format: PDFDescription: Knowledge Discovery today is a significant study and research area. In finding answers to many research question ...
	Programming Survey of Text Mining II: Clustering, Classification, and Retrieval Michael W. Berry, Malu Castellanos, "Survey of Text Mining II: Clustering, Classification, and Retrieval" Springer; 1 edition (December 17, 2007) \| ISBN:1848000456 \| 239 pages \| PDF \| 2,1 Mb
	Study Text Mining: Classification, Clustering, and Applications Ashok Srivastava, Mehran Sahami, "Text Mining: Classification, Clustering, and Applications"Chapman & Hall/CRC \| 2009-06-15 \| ISBN: 1420059408 \| 328 pages \| PDF \| 3,6 MBGiving a broad perspective of the field from numerous vantage p ...
	Software Related Технологии анализа данных. Data Mining, Visual Mining, Text Mining, OLAP Технологии анализа данных. Data Mining, Visual Mining, Text Mining, OLAPDJVU + CD \| 384 Стр. \| ISBN: 5941579918 \| Издатель: БХВ-Петербург \| Серия: Учебное пособие \| 2007 \| 6 ...
	Technical Text Mining Classification, Clustering, and Applications.CRC.2009

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	Science/Engineering Classification and Clustering for Knowledge Discovery Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KLanguage: EnglishISBN: 3540260730Paperback: 356 pagesData: Sep 2005Format: CHMDescription: . . . . \| DivShare \| - (6.5M)
	Technical Classification and Clustering for Knowledge Discovery (Studies in Computational Intelligence) Publisher: Springer; 1 editionLanguage: englishISBN: 3540260730Paperback: 356 pagesData: October 6, 2005Format: PDFDescription: Knowledge Discovery today is a significant study and research area. In finding answers to many research question ...
	Programming Survey of Text Mining II: Clustering, Classification, and Retrieval Michael W. Berry, Malu Castellanos, "Survey of Text Mining II: Clustering, Classification, and Retrieval" Springer; 1 edition (December 17, 2007) \| ISBN:1848000456 \| 239 pages \| PDF \| 2,1 Mb
	Study Text Mining: Classification, Clustering, and Applications Ashok Srivastava, Mehran Sahami, "Text Mining: Classification, Clustering, and Applications"Chapman & Hall/CRC \| 2009-06-15 \| ISBN: 1420059408 \| 328 pages \| PDF \| 3,6 MBGiving a broad perspective of the field from numerous vantage p ...
	Software Related Технологии анализа данных. Data Mining, Visual Mining, Text Mining, OLAP Технологии анализа данных. Data Mining, Visual Mining, Text Mining, OLAPDJVU + CD \| 384 Стр. \| ISBN: 5941579918 \| Издатель: БХВ-Петербург \| Серия: Учебное пособие \| 2007 \| 6 ...
	Technical Text Mining Classification, Clustering, and Applications.CRC.2009

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