Chang / Healey / McHugh Mining the World Wide Web

An Information Search Approach
Erscheinungsjahr 2012
ISBN: 978-1-4615-1639-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 10, 170 Seiten, eBook

Reihe: The Information Retrieval Series

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.

Zielgruppe

Research

Autoren/Hrsg.

Chang, George

Healey, Marcus

McHugh, James A. M.

Wang, T.L.

Inhaltsverzeichnis

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.