항목 시간 간격을 고려한 temporal 연관규칙

• 영문명: Temporal Association Rules Based on Item Time Interval
• 발행기관: 한국산업경영시스템학회
• 저자명: 이경원 김재련
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2003년 추계학술대회 논문집, 25~30쪽, 전체 6쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2003.10.01

영문 초록

  In this paper, we present a temporal association rules based on item time intervals. A temporal association rules is an association rule that holds specific time intervals. If we consider itemset in the frequently purchased period, we can discovery more significant itemset satisfying minimum support. Because the previous study did not consider the time interval between purchased item, it could find itemset that did not satisfy the minimum support in case some item was frequently purchased in a specific period and rarely or not purchased in other period. Our approach use interval support which is counted by period with support and confidence in the association rule to discovery large itemset.

목차

Abstract
1. 서론
2. 기존연구 고찰
3. 제안하는 알고리즘
4. 항목의 시간 간격을 고려한 Temporal 연관 규칙 예제
5. 결론
참고문헌

키워드

Data mining Temporal Rules Association Rules Item Interval