Journal of the Korean Data and Information Science Society
- 제17권4호
- /
- Pages.1077-1083
- /
- 2006
- /
- 1598-9402(pISSN)
A Study for Antecedent Association Rules
- Park, Hee-Chang (Department of Statistics, Changwon National University) ;
- Cho, Kwang-Hyun (Department of Statistics, Changwon National University)
- 발행 : 2006.11.30
초록
Association rule mining searches for interesting relationships among items in a given database. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule, support and confidence and lift. In this paper we present association rule mining based antecedent variables. We call these rules to antecedent association rules. An antecedent variable is a variable that occurs before the independent variable and the dependent variable.