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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제4권 제1호
- 발행연도
- 2008.1
- 수록면
- 27 - 32 (6page)
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초록· 키워드
오류제보하기
Minimum support and confidence have been used as criteria for generating association rules in all association rule mining algorithms. These criteria have their natural appeals, such as simplicity; few researchers have suspected the quality of generated rules. In this paper, we examine the rules from a more rigorous point of view by conducting statistical tests. Specifically, we use contingency tables and chi-square test to analyze the data. Experimental results show that one third of the association rules derived based on the support and confidence criteria are not significant, that is, the antecedent and consequent of the rules are not correlated. It indicates that minimum support and minimum confidence do not provide adequate discovery of meaningful associations. The chi-square test can be considered as an enhancement or an alternative solution.
목차
등록된 정보가 없습니다.
참고문헌 (21)
참고문헌 신청
Agrawal R / 1994 / Fast algorithms for Mining Association Rules / Proc. of the 20th VLDB Conference : 487 ~ 499
Agrawal, R / 1993 / Mining Association Rules Between Sets of Items in Large Databases / Proc. of the ACM-SIGMOD Conf. on Management of Data : 207 ~ 216
Agrawal, R / 1994 / Fast Algorithms for Mining Association Rules
Bayardo, R. / 1999 / Constraint-Based Rule Mining in Large, Dense Databases / Proc. of the 15th Int'l Conf. on Data Engineering : 188 ~ 197
Bayardo, R. J. / 1999 / Mining the Most Interesting Rules / Proc. of the Fifth ACM SIGKDD Conf. on Knowledge Discovery and Data Mining : 145 ~ 154
Agrawal, R / 1993 / Mining Association Rules Between Sets of Items in Large Databases / Proc. of the ACM-SIGMOD Conf. on Management of Data : 207 ~ 216
Agrawal, R / 1994 / Fast Algorithms for Mining Association Rules
Bayardo, R. / 1999 / Constraint-Based Rule Mining in Large, Dense Databases / Proc. of the 15th Int'l Conf. on Data Engineering : 188 ~ 197
Bayardo, R. J. / 1999 / Mining the Most Interesting Rules / Proc. of the Fifth ACM SIGKDD Conf. on Knowledge Discovery and Data Mining : 145 ~ 154
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