Mining the World Wide Web: An Information Search Approach

Front Cover
Springer Science & Business Media, 2001 M07 31 - 168 pages
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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Contents

KEYWORDBASED SEARCH ENGINES
3
1 Search Engines
4
2 Web Directories
15
3 MetaSearch Engines
16
4 Information Filtering
17
QUERYBASED SEARCH SYSTEMS
19
I W3QSW3QL
20
2 WebSQL
26
TEXT MINING
81
2 Association Discovery
82
3 Trend Discovery
84
4 Event Detection
87
WEB MINING
93
2 Web Usage Mining
95
3 Web Structure Mining
100
WEB CRAWLING AGENTS
105

3 WAQL
29
MEDIATORS AND WRAPPERS
35
1 LORE
38
2 ARANEUS
41
3 AKIRA
47
MULTIMEDIA SEARCH ENGINES
51
1 Text or KeywordBased Search
53
2 ContentBased Search
59
DATA MINING
67
2 OnLine Analytical Processing
68
3 Pattern Extraction Processes
69
2 Web Crawling Architecture
107
3 Crawling Algorithms
110
4 TopicOriented Web Crawling
114
ENVIRODAEMON
119
2 EnviroDaemon ED
121
3 ED with Hierarchical Search
130
4 A Hierarchical Query Language
134
5 Summary
136
References
137
Index
161
Copyright

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