Host: Japan SOciety for Fuzzy Theory and intelligent informatics
Co-host: The Korea Fuzzy Logic and Intelligent Systems Society, IEEE Computational Intelligence Society, The International Fuzzy Systems Association, 21th Century COE Program "Creation of Agent-Based Social Systems Sciences"
The aim of this paper is to discuss the development a system for the discovery of valuable new knowledge and to develop effective sales strategies based on this knowledge by utilizing massive amounts of click stream data generated by site visitors. This paper discusses and clarifies the process by which detailed consumer behavior patterns when using the site are extracted from Internet mall retail site click stream data and how these patterns can be used as a source of new ideas for creating new marketing strategies. We will also discuss our successful use of an improved version of the genome analysis system called E-BONSAI to extract and analyze special character strings related to site visitor behavior indicated by distinctive click patterns.
