  Various studies on consumer purchasing behaviors have been presented and used
in real problems. Data mining techniques are expected to be a more effective
tool for analyzing consumer behaviors. However, the data mining method has
disadvantages as well as advantages. Therefore, it is important to select
appropriate techniques to mine databases. The objective of this paper is to
know consumer behavior, his psychological condition at the time of purchase and
how suitable data mining method apply to improve conventional method. Moreover,
in an experiment, association rule is employed to mine rules for trusted
customers using sales data in a super market industry
