Title :
Natural computation for business intelligence from Web usage mining
Author_Institution :
Sch. of Comput. Sci. & Eng., Chung-Ang Univ., Seoul, South Korea
Abstract :
Web usage mining attempts to discover useful knowledge from the secondary data obtained from the interactions of the users with the Web. Web usage mining has become very critical for effective Web site management, creating adaptive Web sites, business and support services, personalization, network traffic flow analysis and so on. This paper introduces the various ingredients of natural computation and further presents the important concepts of Web usage mining and its various practical applications.
Keywords :
Internet; Web sites; artificial intelligence; biocomputing; competitive intelligence; data mining; neural nets; Web usage mining; business intelligence; knowledge discovery; natural computation; Artificial neural networks; Biology computing; Computer network management; Computer networks; DNA computing; Data mining; Evolutionary computation; Neurons; Quantum computing; Telecommunication traffic;
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing, 2005. SYNASC 2005. Seventh International Symposium on
Print_ISBN :
0-7695-2453-2
DOI :
10.1109/SYNASC.2005.48
