9781558607545-1558607544-Mining the Web: Discovering Knowledge from Hypertext Data

Mining the Web: Discovering Knowledge from Hypertext Data

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Summary

Mining the Web: Discovering Knowledge from Hypertext Data (ISBN-13: 9781558607545 and ISBN-10: 1558607544), written by authors Soumen Chakrabarti, was published by Morgan Kaufmann in 2002. With an overall rating of 4.3 stars, it's a notable title among other Management Information Systems (Business Technology, Software, Data Mining, Databases & Big Data, Data Processing, Internet, Groupware, & Telecommunications, Networking & Cloud Computing, Software, Web Design, Web Development & Design, Content Management, Website Analytics, Internet & Social Media) books. You can easily purchase or rent Mining the Web: Discovering Knowledge from Hypertext Data (Hardcover) from BooksRun, along with many other new and used Management Information Systems books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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 infrastructure and analysis to bring machine learning to bear on systematically acquired and stored data. Here the focus is on results: the strengths and weaknesses of these applications, along with their potential as foundations for further progress. From Chakrabarti's work―painstaking, critical, and forward-looking―readers will gain the theoretical and practical understanding they need to contribute to the Web mining effort.

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