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This book is a foundational text on web mining, focusing on techniques for extracting structure, patterns, and knowledge from hypertext and linked web data. It covers models and algorithms for web crawling, link analysis, ranking methods, classification, clustering, and topic discovery. The book bridges information retrieval, machine learning, and data mining, with particular emphasis on the unique challenges posed by the web’s scale, heterogeneity, and hyperlink structure.

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245: $a: Mining the Web: Discovering Knowledge from Hypertext Data
245: $b:
082: $a:
100: $a: Soumen Chakrabarti (Indian Institute of Technology, Bombay)
650: $a: Web mining
250: $a:
440: $v:
250: $b: Morgan Kaufmann (an imprint of Elsevie
250: $c: 2003
020: $a: 1-55860-754-4
300: $a: 364