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Data Mining the Web

Data Mining the Web Uncovering Patterns in Web Content, Structure, and Usage

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Data Mining the Web

Uncovering Patterns in Web Content, Structure, and Usage

Zdravko Markov | Daniel T. Larose

Computers / Data Science / Data Analytics

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).
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.


Publication Date: 25 April 2007
Publisher: Wiley
Imprint: Wiley-Interscience
ISBN-13: 9780471666554
Format: Hardback
Page Count: 240
Weight (oz): 19.2

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