Amazon cover image
Image from Amazon.com
Image from Google Jackets
Image from OpenLibrary

Mining the Web: Discovering Knowledge from Hypertext Data

By: Material type: TextTextPublication details: San Francisco Morgan Kaufmann Publishers/ Elsevier 2005Description: xviii, 345 pages : illustrations ; 25 cmISBN:
  • 9788181478863
Subject(s): DDC classification:
  • 005.72 CHA-M
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.
Summary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 005.72 CHA-M (Browse shelf(Opens below)) Available DCB120

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.

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.

There are no comments on this title.

to post a comment.