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Bing Liu - Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data - 9783642194597 - V9783642194597
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Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data

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Description for Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data Hardcover. 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 data mining, machine learning, and text processing. Series: Data-Centric Systems and Applications. Num Pages: 644 pages, biography. BIC Classification: UNF; UNH; UYQM. Category: (P) Professional & Vocational. Dimension: 240 x 339 x 41. Weight in Grams: 1088.
Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form ... Read more

Product Details

Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
600
Format
Hardback
Publication date
2011
Series
Data-Centric Systems and Applications
Condition
New
Number of Pages
624
Place of Publication
Berlin, Germany
ISBN
9783642194597
SKU
V9783642194597
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Bing Liu
Bing Liu is a professor of Computer Science at the University of Illinois at Chicago (UIC). He received his PhD in Artificial Intelligence from the University of Edinburgh. Before joining UIC, he was with the National University of Singapore. His current research interests include opinion mining and sentiment analysis, text and Web mining, data mining, and machine learning. He has ... Read more

Reviews for Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data
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 applications. [...] It also motivates the student by adding immediacy and relevance to the concepts and algorithms described. I liked the ... Read more

Goodreads reviews for Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data


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