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Mining the Web: Discovering Knowledge from Hypertext Data

Examines low-level machine learning techniques as they relate specifically to the challenges of Web mining. This work focuses on applications that unite infrastructure and analysis to bring machine learning to bear on systematically acquired and stored data.

Bibliographic Details
Main Author: Soumen Chakrabarti
Format: Printed Book
Published: San Francisco Morgan Kaufmann Publishers/ Elsevier 2005
Subjects:
Table of Contents:
  • Crawling the Web
  • Web search and information retrieval
  • Similarity and clustering
  • Supervised learning
  • Semisupervised learning
  • Social network analysis
  • Resource discovery
  • The future of Web mining.