Information Retrieval

An Information Search Approach

By: George Chang, Marcus Healey, James A. M. McHugh

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Hardcover | 31 July 2001

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192 Pages

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23.5 x 15.88 x 1.27

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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.

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Non-Fiction Computing & I.T.Databases Data Mining Digital Lifestyle & Online World: Consumer & User Guides Internet Guides & Online Services Computer Science Artificial Intelligence Information Technology General Issue Computer Security Data Encryption Education

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Published: 29th October 2012

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List of Figures	p. ix
List of Tables	p. xi
Preface	p. xiii
Acknowledgments	p. xvii
Information Retrieval on the Web
Keyword-Based Search Engines	p. 3
Search Engines	p. 4
Web Directories	p. 15
Meta-Search Engines	p. 16
Information Filtering	p. 17
Query-Based Search Systems	p. 19
W3QS/W3QL	p. 20
WebSQL	p. 26
WAQL	p. 29
Mediators and Wrappers	p. 35
Lore	p. 38
Araneus	p. 41
Akira	p. 47
Multimedia Search Engines	p. 51
Text or Keyword-Based Search	p. 53
Content-Based Search	p. 59
Data Mining on the Web
Data Mining	p. 67
What is Data Mining?	p. 67
On-Line Analytical Processing	p. 68
Pattern Extraction Processes	p. 69
Text Mining	p. 81
What is Text Mining?	p. 81
Association Discovery	p. 82
Trend Discovery	p. 84
Event Detection	p. 87
Web Mining	p. 93
What is Web Mining?	p. 93
Web Usage Mining	p. 95
Web Structure Mining	p. 100
Web Crawling Agents	p. 105
What is a Web Crawling Agent?	p. 105
Web Crawling Architecture	p. 107
Crawling Algorithms	p. 110
Topic-Oriented Web Crawling	p. 114
A Case Study in Environmental Engineering
Envirodaemon	p. 119
Background	p. 119
EnviroDaemon (ED)	p. 121
ED with Hierarchical Search	p. 130
A Hierarchical Query Language	p. 134
Summary	p. 136
References	p. 137
Index	p. 161
Table of Contents provided by Syndetics. All Rights Reserved.

Information Retrieval

An Information Search Approach

At a Glance

Hardcover

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How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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