International Journal of Advanced Culture Technology
- Volume 1 Issue 2
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- Pages.13-17
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- 2013
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- 2288-7202(pISSN)
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- 2288-7318(eISSN)
Customer Behavior Data Model using User Profile Analysis
- Jung, Yong Gyu (Department of Medical IT Marketing, Eulji University) ;
- Lee, Agatha (Trulogic) ;
- Lee, Jeong Chan (National DB Division, National Information Society Agency) ;
- Lee, Young Dae (International Promotion Agency of Culture Technology)
- Received : 2013.09.16
- Accepted : 2013.12.06
- Published : 2013.12.31
Abstract
Today, most of the companies have numerous issues to take advantage of the data within the organization. Modeling techniques could be described using profile and historical log data as a tool of data mining techniques. It is covered increasingly with data entry, research, processing, modeling and reporting components of the icon in the form of easy-to-use in many datamining tools. Visual data mining process can create a data stream. In this paper, customer behavior is predicted in pages or products, using the history profile analysis and the navigation items are necessary to predict unknown features.