Web Data Mining by Bing Liu

Web Data Mining by Bing Liu

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.

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 way the concepts are introduced in a stepwise manner. […] I also appreciated the bibliographical notes at the end of each chapter." ACM Computing Reviews, W. Hu, , January 2009

From the reviews of the second edition:

“Liu (Univ. of Illinois, Chicago) discusses all three types of Web mining--structure, content, and usage--in the technology’s efforts to glean information from hyperlinks, Web page content, and usage logs. […] Practical examples complement the discussions throughout the text, and each chapter includes useful ‘Bibliographic Notes’ and an extensive bibliography. […] Liu states that his intended audience includes bothundergraduate and graduate students, but notes that researchers and Web programmers could benefit from this text as well. Summing Up: Recommended. Upper-division undergraduates through professionals.” J. Johnson, Choice, Vol. 49 (5), January 2012

"[...] Liu's book provides a comprehensive, self-contained introduction to the major data mining techniques and their use in Web data mining. [...] Professionals and researchers alike will find this excellent book handy as a reference. Its extensive lists of references at the end of each chapter provide hundreds of pointers for further reading. As a textbook, it is also suitable for advanced undergraduate and graduate courses on Web mining; it is highly selfcontained and includes many easy-to-understand examples that will help readers grasp the key ideas behind current Web data mining techniques." ACM Computing Reviews, Fernando Berzal, February 2012

Bing Liu is a Computer Science associate professor at the University of Illinois at Chicago (UIC). He graduated from the University of Edinburgh with a PhD in Artificial Intelligence. He worked at the National University of Singapore before coming to UIC in 2002. Data mining, Web mining, text mining, and machine learning are some of his research interests. He has a long list of publications in these fields from prestigious conferences and magazines. He has been (or continues to serve) on the program committees of numerous conferences, including WWW, KDD, ICML, VLDB, ICDE, AAAI, SDM, CIKM, and ICDM.

SKU	Unavailable
ISBN 13	9783642194597
ISBN 10	3642194591
Title	Web Data Mining
Author	Bing Liu
Series	Data-Centric Systems And Applications
Condition	Unavailable
Binding Type	Hardback
Publisher	Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Year published	2011-06-26
Number of pages	624
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.