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Web Usage Analysis and User Profiling: International WEBKDD'99 Workshop San Diego, CA, USA, August 15, 1999 Revised Papers (Lecture Notes in Computer ... / Lecture Notes in Artificial Intelligence)
 
 
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Web Usage Analysis and User Profiling: International WEBKDD'99 Workshop San Diego, CA, USA, August 15, 1999 Revised Papers (Lecture Notes in Computer ... / Lecture Notes in Artificial Intelligence) [Paperback]

Myra Spiliopoulou (Editor), Brij Masand (Author)

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Book Description

Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence September 6, 2000
After the advent of data mining and its successful application on conventional data, Web-related information has been an appropriate and increasingly popular target of knowledge discovery. Depending on whether the data used in the knowledge discovery process concerns the Web itself in terms of content or the usage of the content, one distinguishes between Web content mining and Web usage mining. This book is the first one entirely devoted to Web usage mining. It originates from the WEBKDD'99 Workshop held during the 1999 KDD Conference. The ten revised full papers presented together with an introductory survey by the volume editors documents the state of the art in this exciting new area. The book presents topical sections on Modeling the User, Discovering Rules and Patterns of Navigation, and Measuring interestingness in Web Usage Mining.

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Inside This Book (learn more)
First Sentence:
The Internet attracts a large number of users and thus holds great potential as an advertising medium. Read the first page
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Weighted Push, International Conference, Springer-Verlag Berlin Heidelberg, Int'l Conf, Omniscient Observers, Department of Computer Science, Data Engineering, Digital Libraries, Robert Cooley, Distributed Computing Systems, Jaideep Srivastava, Aggregated Log, Bamshad Mobasher, Combined Source, Internet Explorer, John Wiley, Journal of Advertising Research, Management of Data, Newport Beach, Springer Verlag, Traffic Increase Fig, University of Ulster, Very Large Data Bases, Netscape Navigator
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This book cites 34 books:
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