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Text Mining: Predictive Methods for Analyzing Unstructured Information
Hardcover
ISBN13: 9780387954332
Publisher: Springer
Published: Oct 25 2004
Pages: 237
Weight: 1.10
Height: 0.81 Width: 6.55 Depth: 9.25
Language: English
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.
1 different editions
Also available
Text Mining: Predictive Methods for Analyzing Unstructured Information
Zhang, Tong
Indurkhya, Nitin
Weiss, Sholom M.
Paperback
Also from
Weiss, Sholom M.
Text Mining: Predictive Methods for Analyzing Unstructured Information
Zhang, Tong
Indurkhya, Nitin
Weiss, Sholom M.
Paperback
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