£94.07

CRC Press Text Mining: Classification, Clustering, and Applications

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£94.07 £87.34 £88.81 £90.28 £91.74 £93.21 £94.68 25 January 2026 03 February 2026 13 February 2026 22 February 2026 04 March 2026

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Most common price: £90 (21 days, 53.8%)

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Price levels: 3 different prices over 39 days

Description

Text Mining: Classification, Clustering, and Applications serves as a definitive resource for those studying text mining theory and practical applications. Part of the Chapman and Hall/CRC Data Mining and Knowledge Discovery Series, this book provides a broad perspective of the field through various vantage points. It focuses heavily on statistical methods used for text mining and analysis, helping readers understand how to manage large volumes of textual data. The content examines specific methods for the automatic clustering and classification of text documents. These techniques are applied across several important areas, such as adaptive information filtering, information distillation, and text search. By starting with fundamental chapters on classifying documents into predefined categories, the text builds a strong foundation for understanding complex data mining processes. This book is an essential tool for researchers and students looking to master the statistical methods required for modern text analysis and information management.

Key Features

Comprehensive coverage of statistical methods for text mining and analysis from foremost researchers in the field.

Detailed examination of automatic clustering and classification methods for various text document types.

Practical applications in adaptive information filtering, information distillation, and text search.

Structured learning starting with document classification into predefined categories.

Part of the respected Chapman and Hall/CRC Data Mining and Knowledge Discovery Series.

Used book provided in good condition for academic and professional study.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
15 June 2009
Listed Since
16 February 2007

Barcode

No barcode data available

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