Data mining is the process of analyzing large database to find useful patterns. The term pattern refers to the items which are frequently occurring in set of transaction. The frequent patterns are used to find association between sets of item. The efficiency of mining association rules and confidentiality of association rule is becoming one of important area of knowledge discovery in database. This paper is organized into two sections. In the system Apriori algorithm is being presented that efficiently generates association rules. These reduces unnecessary database scan at time of forming frequent large item sets.