Sholom M Weiss

(Author)

Text Mining: Predictive Methods for Analyzing Unstructured InformationPaperback, 19 November 2010

Text Mining: Predictive Methods for Analyzing Unstructured Information
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Print Length
237 pages
Language
English
Publisher
Springer
Date Published
19 Nov 2010
ISBN-10
1441929967
ISBN-13
9781441929969

Description

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.

Product Details

Authors:
Sholom M WeissNitin IndurkhyaTong ZhangFred Damerau
Book Format:
Paperback
Country of Origin:
NL
Date Published:
19 November 2010
Dimensions:
23.39 x 15.6 x 1.35 cm
ISBN-10:
1441929967
ISBN-13:
9781441929969
Language:
English
Location:
New York, NY
Pages:
237
Publisher:
Weight:
358.34 gm

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