Mining the World Wide Web

An Information Search Approach

George Chang, Marcus Healey, James A. M. McHugh, T.L. Wang (Autoren)

Buch | Softcover

170 Seiten

2012 | Softcover reprint of the original 1st ed. 2001
Springer-Verlag New York Inc.
978-1-4613-5654-7 (ISBN)

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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.

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.

Reihe/Serie	The Information Retrieval Series ; 10
Zusatzinfo	XVII, 170 p.
Verlagsort	New York, NY
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Theorie / Studium ► Algorithmen
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Informatik ► Web / Internet
ISBN-10	1-4613-5654-7 / 1461356547
ISBN-13	978-1-4613-5654-7 / 9781461356547
Zustand	Neuware