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Association rule mining methods for applying encryption techniques in transaction dataset

Data mining is one of the techniques in the knowledge discovery process and denotes to mining information from large amount of records. One of the significant and popular data mining process is association rule mining which is used to find frequent patterns in the given dataset in which the apriori algorithm are the most common for mining frequent item set. This paper explored DES algorithm in client side for generating the secret key to encrypt the items of the support table. Apriori algorithm is used at server side for getting transaction data from the client side by applying threshold or sigma value to filter out the item set whose frequency has to less than sigma value. The main focus of this paper is to achieve more security of the client side.