Text mining : applications and theory /

Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the us...

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Bibliographic Details
Corporate Author: SIAM International Conference on Data Mining
Other Authors: Berry, Michael W., Kogan, Jacob, 1954-
Format: Conference Proceeding eBook
Language:English
Published: Chichester, U.K. : Wiley, ©2010.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning.
Physical Description:1 online resource (xiv, 207 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9780470689653
047068965X
9780470689646
0470689641