Mining the World Wide Web

by Chang, George; Healey, Marcus J.; McHugh, James A. M.; Wang, Jason T. L.

• ISBN13: 9780792373490
• ISBN10: 0792373499
• Format: Hardcover
• Copyright: 2001-08-01
• Publisher: Kluwer Academic Pub

Summary

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.

Table of Contents

List of Figures	ix
List of Tables	xi
Preface	xiii
Acknowledgments	xvii
Part I Information Retrieval on the Web
Keyword-Based Search Engines	3	(16)
Search Engines	4	(11)
Web Directories	15	(1)
Meta-Search Engines	16	(1)
Information Filtering	17	(2)
Query-Based Search Systems	19	(16)
W3QS/W3QL	20	(6)
WebSQL	26	(3)
WAQL	29	(6)
Mediators and Wrappers	35	(16)
Lore	38	(3)
Araneus	41	(6)
Akia	47	(4)
Multimedia Search Engines	51	(16)
Text or Keyword-Based Search	53	(6)
Content-Based Search	59	(8)
Part II Data Mining on the Web
Data Mining	67	(14)
What is Data Mining?	67	(1)
On-Line Analytical Processing	68	(1)
Pattern Extraction Processes	69	(12)
Text Mining	81	(12)
What is Text Mining?	81	(1)
Association Discovery	82	(2)
Trend Discovery	84	(3)
Event Detection	87	(6)
Web Mining	93	(12)
What is Web Mining?	93	(2)
Web Usage Mining	95	(5)
Web Structure Mining	100	(5)
Web Crawling Agents	105	(14)
What is a Web Crawling Agent?	105	(2)
Web Crawling Architecture	107	(3)
Crawling Algorithms	110	(4)
Topic-Oriented Web Crawling	114	(5)
Part III A Case Study in Environmental Engineering
Envirodaemon	119	(18)
Background	119	(2)
EnviroDaemon (ED)	121	(9)
ED with Hierarchical Search	130	(4)
A Hierarchical Query Language	134	(2)
Summary	136	(1)
References	137	(24)
Index	161