Description
Mining the World Wide Web, Softcover reprint of the original 1st ed. 2001
An Information Search Approach
The Information Retrieval Series, Vol. 10
Authors: Chang George, Healey Marcus, McHugh James A. M., Wang T.L.
Language: EnglishSubjects for Mining the World Wide Web:
158.24 €
In Print (Delivery period: 15 days).
Add to cart the book of Chang George, Healey Marcus, McHugh James A. M., Wang T.L.
Mining the World Wide Web
Publication date: 10-2012
170 p. · 15.5x23.5 cm · Paperback
Publication date: 10-2012
170 p. · 15.5x23.5 cm · Paperback
Approximative price 158.24 €
Subject to availability at the publisher.
Add to cart the book of Chang George, Healey Marcus, McHugh James A. M., Wang T.L.
Mining the world wide web
Publication date: 07-2001
170 p. · 15.5x23.5 cm · Hardback
Publication date: 07-2001
170 p. · 15.5x23.5 cm · Hardback
Description
/li>Contents
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Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer science research. Web mining is a multidisciplinary field, drawing on such areas as artificial intelligence, databases, data mining, data warehousing, data visualization, information retrieval, machine learning, markup languages, pattern recognition, statistics, and Web technology. Mining the World Wide Web presents the Web mining material from an information search perspective, focusing on issues relating to the efficiency, feasibility, scalability and usability of searching techniques for Web mining.
Mining the World Wide Web is designed for researchers and developers of Web information systems and also serves as an excellent supplemental reference to advanced level courses in data mining, databases and information retrieval.
Mining the World Wide Web is designed for researchers and developers of Web information systems and also serves as an excellent supplemental reference to advanced level courses in data mining, databases and information retrieval.
I Information Retrieval on the Web.- 1. Keyword-Based Search Engines.- 2. Query-Based Search Systems.- 3. Mediators and Wrappers.- 4. Multimedia Search Engines.- II Data Mining on the Web.- 5. Data Mining.- 6. Text Mining.- 7. Web Mining.- 8. Web Crawling Agents.- III A Case Study in Environmental Engineering.- 9. Envirodaemon.- References.
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