Probable Sequence Determination Using Incremental Association Rule Mining and Transaction Clustering

Many organizations collect information about customers which are used to support various business related task. The detail of the customers and their behavior is stored in the database. Here we propose a method of using incremental updating technique to mine direct association rules Inter & Intra transactions. Cluster analysis is performed to verify the associated objects fall in nominal cluster. The result of this technique can be used to develop well structured e-shop which facilitate the customer by helping him to find what he wants in a specialized way and also aids him to choose the associated products by the method of prediction. Thus it reduces the workload of marketing professional to provide direct marketing and thereby providing customer satisfaction.