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Mining the Web: Discovering Knowledge from Hypertext Data

Soumen Chakrabarti




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 | #1611598 in Books |  Morgan Kaufmann |  2002-10-23 | Original language:English | PDF # 1 |  9.50 x7.50 x1.00l,1.66 | File type: PDF | 344 pages

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||0 of 0 people found the following review helpful.| Five Stars|By Deborah Delara|Great book give lots of tips and teaches some great things for online web use or development.|4 of 5 people found the following review helpful.| Readable, approachable, informative|By brad|The field of relevance algorithms for the web is still relatively new and the author provides a clear, informat| |"...solid and beneficial to readers interested in Web data mining, especially those interested in the details of algorithmic implementation." = Bernard J. Jansen, Information Processing & Management||"The treatment is systematic, comprehensive and in-de

Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issues―including Web crawling and indexing―Chakrabarti examines low-level machine learning techniques as they relate specifically to the challenges of Web mining. He then devotes the final part of the book to applications that unite infrastructur...

You easily download any file type for your device.Mining the Web: Discovering Knowledge from Hypertext Data   |  Soumen Chakrabarti.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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