Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
권호 표지

Association Rule by Considering Users Web Site Visiting Time

사용자 웹 사이트 방문 시간을 고려한 연관 규칙

  • Kang, Hyung-Chang (Dept. of Computer Science and Statistics, Cheju National University) ;
  • Kim, Chul-Soo (Dept. of Computer Science and Statistics, Cheju National University) ;
  • Lee, Dong-Cheol (Dept. of Management Information System, Cheju National University)
  • 강형창 (제주대학교 전산통계학과) ;
  • 김철수 (제주대학교 전산통계학과) ;
  • 이동철 (제주대학교 경영정보학과)
  • Published : 2006.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

We can offer suitable information to users analyzing the pattern of users. An association rule is one of data mining techniques which can discover the pattern. We use an association rule which considers the web page visiting time and we should the pattern analyse of users. The offered method puts the weights in Web page visiting time of the user and produces an association rule. Weight is web page visiting time unit divide to total of web page visiting time. We offer rather meaningful result the association rule by Apriori algorithm. This method that proposes in the paper offers rather meaningful result Apriori algorithm

Keywords

References

  1. 강현철, 한상태, 선영수, 'A Clustering Algorithm Considering Structural Relationships of Web Contents', The Korean Communications in Statistics, 12(1) : 191-197, 2005 https://doi.org/10.5351/CKSS.2005.12.1.191
  2. 김근형, 황병우, 김민철, '중요지지도를 고려한 연관규칙 탐사 알고리즘', 정보처리학회 논문지, 11-D(3) : 545-552, 2004
  3. 김정현, 김재련, '시간을 고려한 연관규칙을 이용한 웹 사용자 접근패턴 분석', 한국경영과학회/대한산업공학회 춘계공동학술대회 발표논문집, 관동대학교, 양양, pp. 852-855, 2001
  4. 최승배, 김규곤, 강만기, 웹 마이닝, 자유아카데미, pp. 146-149, 2004
  5. Mannila, H., Toivonen, H., and Verkanmo, A. I., 'Discovering frequent episodes in sequences,' In Proc. of the First Int'l Conference on Knowledge Discovery and Data Mining, pp. 210-215. 1995
  6. Jiawei Han, 'Miceline Kamber, Data Mining: Concepts and Techniques,' Simon Fraser University, pp. 227-236, 2001
  7. Agrawal, R. and Srikant, R., 'Fast algorithms for mining association rules,' In Proceeding of the 20th VLDB Conference, pp. 487-499, Santiago, Chile, 1994
  8. Robert Cooley, Bamshad Mobasher, and Jaideep Srivastava, 'Data preparation for mining world wide web browsing patterns,' Knowledge and Information Systems, 1, 1999