Mining the World Wide Web: An Information Search Approach
Author:   George Chang ,  Marcus Healey ,  James A. M. McHugh ,  T.L. Wang
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2001
Volume:   10
ISBN:  

9781461356547


Pages:   170
Publication Date:   29 October 2012
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Mining the World Wide Web: An Information Search Approach


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Overview

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.

Full Product Details

Author:   George Chang ,  Marcus Healey ,  James A. M. McHugh ,  T.L. Wang
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2001
Volume:   10
Dimensions:   Width: 15.50cm , Height: 1.00cm , Length: 23.50cm
Weight:   0.302kg
ISBN:  

9781461356547


ISBN 10:   1461356547
Pages:   170
Publication Date:   29 October 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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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