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Web Data Mining Bing Liu

Web Data Mining By Bing Liu

Web Data Mining by Bing Liu


$18.49
Condition - Very Good
Only 1 left

Summary

This is the first book to provide such a comprehensive text on Web data mining. The book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text.

Web Data Mining Summary

Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data by Bing Liu

This book provides a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered. The book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Internet support with lecture slides and project problems is available online.

Web Data Mining Reviews

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." (W. Hu, ACM Computing Reviews, January, 2009)

About Bing Liu

Bing Liu is an associate professor in Computer Science at the University of Illinois at Chicago (UIC). He received his PhD degree in Artificial Intelligence from the University of Edinburgh. Before joining UIC in 2002, he was with the National University of Singapore. His research interests include data mining, Web mining, text mining, and machine learning. He has published extensively in these areas in leading conferences and journals. He served (or serves) as a vice chair, deputy vice chair or program committee member of many conferences, including WWW, KDD, ICML, VLDB, ICDE, AAAI, SDM, CIKM and ICDM.

Table of Contents

1) Introduction - 2) Association Rules and Sequential Patterns - 3) Supervised Learning - 4) Unsupervised Learning - 5) Partially Supervised Learning - 6) Information Retrieval and Web Search - 7) Link Analysis - 8) Web Crawling - 9) Structured Data Extraction: Wrapper Generation - 10) Information Integration - 11) Opinion Mining - 12) Web Usage Mining - References, Index

Additional information

GOR007611714
9783540378815
3540378812
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data by Bing Liu
Used - Very Good
Hardback
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
2006-12-12
556
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

Customer Reviews - Web Data Mining