Stock image for illustration purposes only - book cover, edition or condition may vary.
Data Mining the Web
Zdravko Markov
€ 124.08
FREE Delivery in Ireland
Description for Data Mining the Web
Hardcover. 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). . Num Pages: 218 pages, Illustrations. BIC Classification: PB; PS; UF. Category: (P) Professional & Vocational. Dimension: 241 x 164 x 20. Weight in Grams: 502.
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).
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).
Product Details
Format
Hardback
Publication date
2007
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
218
Condition
New
Number of Pages
240
Place of Publication
, United States
ISBN
9780471666554
SKU
V9780471666554
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Zdravko Markov
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 ... Read more
Reviews for Data Mining the Web
"…it has to be noted that this book is an excellent resource for conducting Web mining lectures or single units within Data mining class. The data can be used for small as well as quite comprehensive business intelligence projects. The book's content is easy to access; even students with very basic statistical skills can get the flavor of the intriguing ... Read more