Abstract

Abstract: Clustering of customer transactiondata and finding patterns using Apriori Algorithm is useful task in data miningto formulate market strategies and maximize profit. The system applies anApriori Algorithm for finding patterns. This system use output of CustomerTransaction Clustering Algorithm as an input to Apriori Algorithm. The systemhave transaction tree which represents the customer's transaction records.  Distance between transaction trees iscalculated. A customer transaction clustering algorithm is used for clusteringof transaction data of customers. The most frequent customers are selected asrepresentatives of customer groups. Clustering is performed by assigningcustomer to the nearest neighborhood. Finally, the clustering results areforwarded to Apriori Algorithm for finding patterns.

Keywords - Customer TransactionClustering Algorithm, Apriori Algorithm, Transaction Tree, Clustering.