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KERD
논문KCI 등재

사용자 웹 사이트 방문 시간을 고려한 연관 규칙

Association Rule by Considering Users Web Site Visiting Time

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참고문헌

주제분류산업공학

초록

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

참고문헌 (8)

  1. "A Clustering Algorithm Considering Structural Relationships of Web Contents", 12(1), pp.191~197 (2005)
  2. "중요지지도를 고려한 연관규칙 탐사 알고리즘", 11-d(3), pp.545~552 (2004)
  3. "시간을 고려한 연관규칙을 이용한 웹 사용자 접근패턴 분석", pp.852~855 (2001)
  4. "Discovering frequent episodes in sequences", pp.210~215 (1995)
  5. "Miceline Kamber, Data Mining:Concepts and Techniques", pp.227~236 (2001), Simon Fraser University
  6. "Fast algorithms for mining association rules", pp. 487-499, pp.1994~ (1994)
  7. "Data preparation for mining world wide web browsing patterns", 1 (1999)
  8. "Data preparation for mining world wide web browsing patterns", 1 (1999)

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