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A scholarly collection examining theoretical foundations and practical applications of text mining. Chapters by leading researchers explore methods such as clustering, classification, topic modeling, and information extraction, along with real-world case studies demonstrating how text mining techniques are applied across scientific, commercial, and security domains.

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245: $a: Text Mining: Applications and Theory
245: $b:
082: $a:
100: $a: Michael W. Berry & Jacob Kogan
650: $a: Data mining
250: $a:
440: $v:
250: $b: John Wiley & Sons, Ltd.
250: $c: 2010
020: $a: 978-0-470-74982-1
300: $a: 514