Overview
- Covers all key tasks and techniques of Web search and Web mining, i.e., structure mining, content mining, and usage mining
- First book with such a comprehensive coverage
- Includes major algorithms from data mining, machine learning, information retrieval and text processing, which are crucial for many Web mining tasks
- First self-contained book
- Contains a rich blend of theory and practice, addressing seminal research ideas and also looking at the technology from a practical point of view
- Ideally suited for classes on Data Mining, Web Mining, Web Search, and Knowledge Discovery in Data Bases
- Provides internet support with lecture slides and project problems
- Includes supplementary material: sn.pub/extras
Part of the book series: Data-Centric Systems and Applications (DCSA)
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Table of contents (12 chapters)
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Introduction
Keywords
About this book
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)
Authors and Affiliations
About the author
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.
Bibliographic Information
Book Title: Web Data Mining
Book Subtitle: Exploring Hyperlinks, Contents, and Usage Data
Authors: Bing Liu
Series Title: Data-Centric Systems and Applications
DOI: https://doi.org/10.1007/978-3-540-37882-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
eBook ISBN: 978-3-540-37882-2Published: 30 May 2007
Series ISSN: 2197-9723
Series E-ISSN: 2197-974X
Edition Number: 1
Number of Pages: XX, 532
Number of Illustrations: 177 b/w illustrations
Topics: Data Structures and Information Theory, Information Storage and Retrieval, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Data Mining and Knowledge Discovery, Pattern Recognition, Artificial Intelligence
Industry Sectors: Electronics, IT & Software, Telecommunications