COMPUTATIONAL WEB INTELLIGENCE
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COMPUTATIONAL WEB INTELLIGENCE
Intelligent Technology for Web Applications
edited by Y-Q Zhang (Georgia State University, USA), A Kandel (Tel-Aviv University, Israel & University of South Florida, USA), T Y Lin (San Jos� State University, USA) & Y Y Yao (University of Regina, Canada)
This review volume introduces the novel intelligent Web theory called computational Web intelligence (CWI) based on computational intelligence (CI) and Web technology (WT). It takes an in-depth look at hybrid Web intelligence (HWI), which is based on artificial biological and computational intelligence with Web technology and is used to build hybrid intelligent Web systems that serve wired and wireless users more efficiently. The basic principles of CWI and various e-applications of CWI and HWI are discussed. For completeness, six major CWI techniques � fuzzy Web intelligence, neural Web intelligence, evolutionary Web intelligence, granular Web intelligence, rough Web Intelligence and probabilistic Web intelligence � are described. With the huge potential for intelligent e-business applications of CWI and HWI, these techniques represent the future of intelligent Web applications.
Contents:
- Fuzzy Web Intelligence, Rough Web Intelligence and
Probabilistic Web Intelligence
- Neural Web Intelligence, Evolutionary Web Intelligence and Granular Web Intelligence
- Hybrid Web Intelligence and E-Applications
View Full Text (36,800 KB)
Readership: Graduate students, researchers and professionals in
artificial intelligence and fuzzy logic.
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584pp
Pub. date: Aug 2004
eISBN 981-256-243-5
Price: US$140
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