원문정보
국제문화기술진흥원
International Journal of Advanced Culture Technology(IJACT)
Volume 1 Number 2
2013.12
pp.13-17
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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.
목차
Abstract
1. INTRODUCTION
2. RELATED RESEARCH
2.1 k-means clustering
2.2 k-means clustering
3. EXPERIMENTS
4. Conclusions
References
1. INTRODUCTION
2. RELATED RESEARCH
2.1 k-means clustering
2.2 k-means clustering
3. EXPERIMENTS
4. Conclusions
References
저자정보
참고문헌
자료제공 : 네이버학술정보
