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Hardcover. Condition: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
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Hardcover. Condition: Very Good. Survey of Text Mining I: Clustering, Classification, and Retrieval: No. 1 This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
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£ 5.35
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 244 | Sprache: Englisch | Produktart: Bücher.
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Add to basketHardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.15.
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Add to basketHardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.15.
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Survey of Text Mining: Clustering, Classification, and Retrieval
Published by Springer, 2003
Language: English
Seller: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germany
Association Member: GIAQ
Seller rating 5 out of 5 stars
£ 4.83
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Add to basketHardcover. Condition: Sehr gut. 261 S., Very good. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 645.
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Survey of Text Mining II: Clustering, Classification, and Retrieval
Seller: Versandbuchhandlung Kisch & Co., Fürstenberg OT Blumenow, Germany
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Add to basketGebundene Ausgabe. Condition: Neu. Neu SURVEY OF TEXT MINING II - Neuware; Rechnung mit MwSt.; new item; 240 pp. Englisch.
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Survey of Text Mining: Clustering, Classification, and Retrieval
Published by Springer-Verlag New York Inc., 2003
ISBN 10: 0387955631 ISBN 13: 9780387955636
Language: English
Hardcover. Condition: Très bon. Ancien livre de bibliothèque. Edition 2003. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2003. Ammareal gives back up to 15% of this item's net price to charity organizations.
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£ 39.71
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Survey of Text Mining II : Clustering, Classification, and Retrieval
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Survey of Text Mining II: Clustering, Classification, and Retrieval
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Survey of Text Mining II : Clustering, Classification, and Retrieval
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Survey of Text Mining II : Clustering, Classification, and Retrieval
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Survey of Text Mining II : Clustering, Classification, and Retrieval
Published by Springer London, Springer London, 2010
ISBN 10: 184996713X ISBN 13: 9781849967136
Language: English
£ 50.98
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - As we enter the third decade of the World Wide Web (WWW), the textual revolution has seen a tremendous change in the availability of online information. Finding inf- mation for just about any need has never been more automatic-just a keystroke or mouseclick away. While the digitalization and creation of textual materials continues at light speed, the ability to navigate, mine, or casually browse through documents too numerous to read (or print) lags far behind. What approaches to text mining are available to ef ciently organize, classify, label, and extract relevant information for today's information-centric users What algorithms and software should be used to detect emerging trends from both text streamsandarchives Thesearejustafewoftheimportantquestionsaddressedatthe Text Mining Workshop held on April 28, 2007, in Minneapolis, MN. This workshop, the fth in a series of annual workshops on text mining, was held on the nal day of the Seventh SIAM International Conference on Data Mining (April 26-28, 2007). With close to 60 applied mathematicians and computer scientists representing universities, industrial corporations, and government laboratories, the workshop f- tured both invited and contributed talks on important topics such as the application of techniques of machine learning in conjunction with natural language processing, - formation extraction and algebraic/mathematical approaches to computational inf- mation retrieval. The workshop's program also included an Anomaly Detection/Text Mining competition. NASA Ames Research Center of Moffett Field, CA, and SAS Institute Inc. of Cary, NC, sponsored the workshop.
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Survey of Text Mining II : Clustering, Classification, and Retrieval
Published by Springer London, Springer London, 2008
ISBN 10: 1848000456 ISBN 13: 9781848000452
Language: English
£ 52.40
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - As we enter the third decade of the World Wide Web (WWW), the textual revolution has seen a tremendous change in the availability of online information. Finding inf- mation for just about any need has never been more automatic-just a keystroke or mouseclick away. While the digitalization and creation of textual materials continues at light speed, the ability to navigate, mine, or casually browse through documents too numerous to read (or print) lags far behind. What approaches to text mining are available to ef ciently organize, classify, label, and extract relevant information for today's information-centric users What algorithms and software should be used to detect emerging trends from both text streamsandarchives Thesearejustafewoftheimportantquestionsaddressedatthe Text Mining Workshop held on April 28, 2007, in Minneapolis, MN. This workshop, the fth in a series of annual workshops on text mining, was held on the nal day of the Seventh SIAM International Conference on Data Mining (April 26-28, 2007). With close to 60 applied mathematicians and computer scientists representing universities, industrial corporations, and government laboratories, the workshop f- tured both invited and contributed talks on important topics such as the application of techniques of machine learning in conjunction with natural language processing, - formation extraction and algebraic/mathematical approaches to computational inf- mation retrieval. The workshop's program also included an Anomaly Detection/Text Mining competition. NASA Ames Research Center of Moffett Field, CA, and SAS Institute Inc. of Cary, NC, sponsored the workshop.
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Survey of Text Mining II: Clustering, Classification, and Retrieval
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Survey of Text Mining: Clustering, Classification, and Retrieval
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Survey of Text Mining II : Clustering, Classification, and Retrieval
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Survey of Text Mining: Clustering, Classification, and Retrieval
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
