Data Mining the Web - Uncovering Patterns in Web ntent, Structure, and Usage
Published on 1. April 2007
Software
Other digital
240 pages
978-0-470-10809-3 (ISBN)
Description
This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance).
More details
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
ISBN-13
978-0-470-10809-3 (9780470108093)
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Schweitzer Classification
Other editions
Additional editions
Zdravko Markov | Daniel T. Larose
Data Mining the Web
Uncovering Patterns in Web Content, Structure, and Usage
E-Book
08/2007
Wiley
€96.99
Available for download
Person
Zdravko Markov, PhD, is Associate Professor of Computer Science at Central Connecticut State University. The author of three textbooks, Dr. Markov teaches undergraduate and graduate courses in computer science and artificial intelligence. He is currently a Principal Investigator (PI) in a National Science Foundation funded project designed to introduce machine learning to undergraduates. Daniel T. Larose, PhD, is Professor of Statistics in the Department of Mathematical Sciences at Central Connecticut State University. He is the author of three data mining books and a forthcoming textbook in undergraduate statistics. He developed and directs CCSU s DataMining@CCSU programs.