Fusion of Selection Parameters for Customer Behavior Prediction based on Web Usage Mining

System records the behavior and patterns of surfing of customers on websites. These records then mine and this will be used to identify their behavioral pattern through web mining. Ecommerce websites evaluate this data with the purpose of giving better services and also recommend improved options of products and services to customers. This system is customized to note down e-shopping and patterns of buying and track various data analytics features. The system noted down different factors like, stickiness, age of the user, product category, the day for purchasing and other site usage factors. Ecommerce sites have to review and mine for recorded data to monitor their website performance and frequently enhance it as per customer necessities or demands.