수량과 시간 가중치를 고려한 퍼지연관규칙 탐색방법

• 영문명: An Efficient Algorithm for Fuzzy Association Rules Considering time Weight and Quantity of Each Item
• 발행기관: 한국산업경영시스템학회
• 저자명: 김준규 안광일 김성집
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2004년 춘계학술대회 논문집, 395~401쪽, 전체 7쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2004.04.01

영문 초록

  Association rules are the discovery of previously unknown, potentially useful and hidden knowledge in databases. Many algorithms have been proposed to find association rules in databases. Due to the diverse use"s interest and preference to items, former algorithms do not work well in real world application. That is to say, in most algorithms of mining association rules, the items are considered to have equal time weight and are not dealt with quantitative attributes. Hence, to improve former algorithms, we propose an algorithm in this paper to mine fuzzy association rules considering time weight of each item and quantity of each item.

목차

Abstract
1. 서론
2. 기존 연구 고찰
3. 제안하는 알고리듬
4. 결론
참고문헌

키워드

data mining fuzzy association rules quantity time weight