Text Mining: Predictive Methods for Analyzing Unstructured Information - Couverture souple

Weiss, Sholom M. M.; Indurkhya, Nitin; Zhang, Tong; Damerau, Fred

9781441929969: Text Mining: Predictive Methods for Analyzing Unstructured Information

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ISBN 10 : 1441929967 ISBN 13 : 9781441929969

Editeur : Springer, 2010

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Text mining searches for regularities, patterns or trends in natural language text. Inspired by data mining, which discovers major patterns from highly structured databases, text mining aims to extract useful knowledge from unstructured text. This book focuses on the concepts and methods needed to expand horizons beyond structured, numeric data to automated mining of text samples. This authoritative and highly accessible text/reference, written by a team of authorities on text mining, develops the foundation concepts, principles, and methods needed to expand beyond structured, numeric data to automated mining of text samples. Researchers, computer scientists, and advanced undergraduates and graduates with work and interests in data mining, machine learning, databases, and computational linguistics will find the work an essential resource.

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�diteurSpringer
Date d'�dition2010
ISBN 10 1441929967
ISBN 13 9781441929969
ReliureBroch�
Langueanglais
Nombre de pages252
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9780387954332: Text Mining: Predictive Methods For Analyzing Unstructured Information

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ISBN 10 : 0387954333 ISBN 13 : 9780387954332
Editeur : Springer-Verlag New York Inc., 2004
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Springer Verlag, 1993 (Couverture souple)

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Text Mining

Sholom M. Weiss

Edit� par Springer New York Nov 2010, 2010

ISBN 10 : 1441929967 ISBN 13 : 9781441929969

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data mining is a mature technology. The prediction problem, looking for predictive patterns in data, has been widely studied. Strong me- ods are available to the practitioner. These methods process structured numerical information, where uniform measurements are taken over a sample of data. Text is often described as unstructured information. So, it would seem, text and numerical data are different, requiring different methods. Or are they In our view, a prediction problem can be solved by the same methods, whether the data are structured - merical measurements or unstructured text. Text and documents can be transformed into measured values, such as the presence or absence of words, and the same methods that have proven successful for pred- tive data mining can be applied to text. Yet, there are key differences. Evaluation techniques must be adapted to the chronological order of publication and to alternative measures of error. Because the data are documents, more specialized analytical methods may be preferred for text. Moreover, the methods must be modi ed to accommodate very high dimensions: tens of thousands of words and documents. Still, the central themes are similar. 252 pp. Englisch. N� de r�f. du vendeur 9781441929969

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Text Mining : Predictive Methods for Analyzing Unstructured Information

Sholom M. Weiss

Edit� par Springer New York, 2010

ISBN 10 : 1441929967 ISBN 13 : 9781441929969

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Data mining is a mature technology. The prediction problem, looking for predictive patterns in data, has been widely studied. Strong me- ods are available to the practitioner. These methods process structured numerical information, where uniform measurements are taken over a sample of data. Text is often described as unstructured information. So, it would seem, text and numerical data are different, requiring different methods. Or are they In our view, a prediction problem can be solved by the same methods, whether the data are structured - merical measurements or unstructured text. Text and documents can be transformed into measured values, such as the presence or absence of words, and the same methods that have proven successful for pred- tive data mining can be applied to text. Yet, there are key differences. Evaluation techniques must be adapted to the chronological order of publication and to alternative measures of error. Because the data are documents, more specialized analytical methods may be preferred for text. Moreover, the methods must be modi ed to accommodate very high dimensions: tens of thousands of words and documents. Still, the central themes are similar. N� de r�f. du vendeur 9781441929969

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Text Mining

Sholom M. Weiss

Edit� par Springer New York, Springer US Nov 2010, 2010

ISBN 10 : 1441929967 ISBN 13 : 9781441929969

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Taschenbuch. Etat : Neu. Neuware -Data mining is a mature technology. The prediction problem, looking for predictive patterns in data, has been widely studied. Strong me- ods are available to the practitioner. These methods process structured numerical information, where uniform measurements are taken over a sample of data. Text is often described as unstructured information. So, it would seem, text and numerical data are different, requiring different methods. Or are they In our view, a prediction problem can be solved by the same methods, whether the data are structured - merical measurements or unstructured text. Text and documents can be transformed into measured values, such as the presence or absence of words, and the same methods that have proven successful for pred- tive data mining can be applied to text. Yet, there are key differences. Evaluation techniques must be adapted to the chronological order of publication and to alternative measures of error. Because the data are documents, more specialized analytical methods may be preferred for text. Moreover, the methods must be modi ed to accommodate very high dimensions: tens of thousands of words and documents. Still, the central themes are similar.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 252 pp. Englisch. N� de r�f. du vendeur 9781441929969

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Text Mining: Predictive Methods for Analyzing Unstructured Information

Weiss, Sholom M. M.; Indurkhya, Nitin; Zhang, Tong; Damerau, Fred

Edit� par Springer, 2010

ISBN 10 : 1441929967 ISBN 13 : 9781441929969

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Text Mining: Predictive Methods for Analyzing Unstructured Information

Weiss, Sholom M.,Indurkhya, Nitin,Zhang, Tong,Damerau, Fred

Edit� par Springer, 2010

ISBN 10 : 1441929967 ISBN 13 : 9781441929969

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