Welcome to IOU Digital Library

A scholarly collection of research papers addressing major methods in text mining, including clustering, classification, and information retrieval. The volume presents theory, algorithms, and applications from leading researchers, with emphasis on statistical and machine learning techniques for analyzing large text collections. Originating from conference contributions, it provides an overview of key developments in early 2000s text mining research.

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245: $a: Survey of Text Mining: Clustering, Classification, and Retrieval
245: $b:
082: $a:
100: $a: Michael W. Berry (Editor)
650: $a: Data mining
250: $a:
440: $v:
250: $b: Springer-Verlag New York
250: $c: 2004
020: $a: 9780387955639
300: $a: 262