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* Details the special challenges associated with analyzing unstructured and semi-structured data.
* Looks at how classical Information Retrieval techniques have been modified for use with Web data.
* Focuses on today's dominant learning methods: clustering and classification, hyperlink analysis, and supervised and semi-supervised learning.
* Analyzes current applications for resource discovery and social network analysis.
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* A comprehensive, critical exploration of statistics-based attempts to make sense of Web Mining.
* Details the special challenges associated with analyzing unstructured and semi-structured data.
* Looks at how classical Information Retrieval techniques have been modified for use with Web data.
* Focuses on today's dominant learning methods: clustering and classification, hyperlink analysis, and supervised and semi-supervised learning.
* Analyzes current applications for resource discovery and social network analysis.
* An excellent way to introduce students to especially vital applications of data mining and machine learning technology.","vbid":"9780080511726","tableOfContentsSource":"/products/mining-the-web-soumen-chakrabarti-v9780080511726/table_of_contents","additionalIdentifiers":{"additionalPrintIsbns":null,"additionalEisbns":null,"additionalIdentifiers":"1558607544|1493303643"},"isOnlineResource":false,"isOnlineResourceBundle":false}

Mining the Web

Print ISBN: 9781558607545, 1558607544

eText ISBN: 9780080511726

Mining the Web Edition by Soumen Chakrabarti and Publisher Morgan Kaufmann. Save up to 80% by choosing the eTextbook option for ISBN: 9780080511726. The print version of this textbook is ISBN: 9781558607545, 1558607544.