High Utility Sequential Pattern Mining Using Intelligent Technique

Products which are there in their basic form is informative, but it can also be a huge task to go through many number of products. It is a huge task to go through many number of products as it may contain many repeated suggestions for a product. In the System which is proposed, utility mining with the item set shares a framework which may be a tough task as there is no anti-monotonicity property that holds with the interesting measure. The novelties lie in a high utility pattern growth way, a look ahead strategy, and a linear data structure. Concretely, our pattern growth approach is by searching a reverse set enumeration tree and to use the prune search space by the method of utility upper bounding. In the part that is modified is our Implementation. First we will create website portal for shopping. User register the E-mail id, interest etc. Admin work is added the products and quantity. Once user login the website and purchase the products means automatically notification is goes to group members based on male or female through mail. Recommendation process is also done this project.