Mining the Web

Teaching material

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Table of contents and preview slides from a planned second edition.
Errata and comments for the first edition.
Slides for the first edition, prepared in most part by Ganesh Ramakrishnan: Introduction, Crawling, Indexing and search, Unsupervised learning or clustering, Supervised learning or classification, Semi-supervised learning, Social network analysis and resource discovery.
My graduate elective offerings based at least in part on this book.

Supplementary references

Tutorials and short courses overlapping with the contents of this book: WWW 2007, Banff Winter School 2006, WWW 2005 (Bing Liu), ADFOCS 2004, VLDB 2002, SIGKDD 2000 and SIGMOD 1999.
Some open-source Web-mining software related to the book.

@Book{Chakrabarti2002mtw,
  author =	 {Soumen Chakrabarti},
  title = 	 {Mining the {Web}: Discovering Knowledge from Hypertext Data},
  publisher = 	 {Morgan-Kauffman},
  year = 	 2002,
  isbn = {ISBN 1-55860-754-4},
  url = {http://www.cse.iitb.ac.in/~soumen/mining-the-web/}
}

News

There is an Indian edition in paperback from Elsevier India, with a reprint ISBN 81-8147-886-X.
Honorable mention (archive) by the Association of American Publishers.
Review on Search Engine Watch (local copy). This page had 441 and 290 hits on the first two days after the review was posted. Now it's back to normal. Clearly, search engine optimization matters!
Cited from courses elsewhere: Princeton University, UMich, CMU, NYU, Stanford 2003, Stanford 2005, UT Austin, Indiana University, Lehigh, UNC, SUNY Buffalo, SDSU, U. Magdeburg, U. Muenchen, TU-Darmstadt, U. Freiburg. (If you wish to use this book for a course you are offering, I'd appreciate a course URL from you to build up a social network of such courses.)

... you must understand how learned books are written in case you ever want to write a learned book. First thing you do is get a thousand references, chosen at random. You then put them into the book, in the order you reach them ... And stick two or three lines of your own between each of them to act as mortar ... And you're all set. ---Isaac Asimov.

Mining the Web

Discovering Knowledge from Hypertext Data

Teaching material

Supplementary references

BibTeX entry

News