In the current paper, we use an intelligent method for improved Apriori algorithm in order to extract frequent itemsets. PAA (proposed algorithm) is twofold. First, it not necessary take only one data item at each step. fact, all possible combinations of items could be generated Secondly, can scan some transactions instead scanning obtain itemset. For performance evaluation, conducted three exp...

Data mining techniques have been widely used in various applications. Binary search tree based frequent items is an effective method for automatically recognize the most frequent items, least frequent items and average frequent items. This paper presents a new approach in order to find out frequent items. The word frequent item refers to how many times the item appeared in the given input. This...