한국산업정보학회:학술대회논문집 (Proceedings of the Korea Society for Industrial Systems Conference)
- 한국산업정보학회 2003년도 추계공동학술대회
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- Pages.621-626
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- 2003
상품간 연관 규칙의 효율적 탐색 방법에 관한 연구 : 인터넷 쇼핑몰을 중심으로
A Fast Algorithm for Mining Association Rules in Web Log Data
초록
Mining association rules in web log files can be divided into two steps: 1) discovering frequent item sets in web data; 2) extracting association rules from the frequent item sets found in the previous step. This paper suggests an algorithm for finding frequent item sets efficiently The essence of the proposed algorithm is to transform transaction data files into matrix format. Our experimental results show that the suggested algorithm outperforms the Apriori algorithm, which is widely used to discover frequent item sets, in terms of scan frequency and execution time.
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