Data mining techniques are used to extract frequent patterns, from massive amount of data in a form of data warehouse. Apriori algorithm has been vital algorithm in association rule mining. Apriori algorithm is mainly used to find a frequent item set in a large amount of datasets. Apriori algorithm basically works in two steps. In first step, candidate item set is generated using linking process and in next step frequent item set from those candidate item set is found based on minimum support count scanning database.