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Web data mining : exploring hyperlinks, contents, and usage data

Author: Bing Liu
Publisher: Berlin : Springer, 2011.
Series: Data-centric systems and applications.
Edition/Format:   eBook : Document : English : 2nd edView all editions and formats
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Now in its second, updated edition, this authoritative and coherent text contains a rich blend of theory and practice and covers all the essential concepts and algorithms from relevant fields such as  Read more...

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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Bing Liu
ISBN: 9783642194603 3642194605 9783642194597 3642194591
OCLC Number: 745000870
Description: 1 online resource (xx, 622 pages) : illustrations.
Contents: 1. Introduction.- Part I: Data Mining Foundations.- 2. Association Rules and Sequential Patterns.- 3. Supervised Learning.- 4. Unsupervised Learning.- 5. Partially Supervised Learning.- Part II: Web Mining.- 6. Information Retrieval and Web Search.- 7. Social Network Analysis.- 8. Web Crawling.- 9. Structured Data Extraction: Wrapper Generation.- 10. Information Integration.- 11. Opinion Mining and Sentiment Analysis.- 12. Web Usage Mining.
Series Title: Data-centric systems and applications.
Responsibility: Bing Liu.

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From the reviews:"This is a textbook about data mining and its application to the Web. [...] Liu succeeds in helping readers appreciate the key role that data mining and machine learning play in Web Read more...

 
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