PROCESS MINING APPROACH TO DISCOVER SHOPPING BEHAVIOR PROCESS MODEL IN ECOMMERCE WEB SITES USING CLICK STREAM DATA

Process mining uses the click stream data of the website by the user's to automatically discover and extract information (Knowledge) from Web documents and services of ecommerce sites. Process mining acts as a bridge between data mining and web mining. The method of general web access pattern is extracted and analyzed using knowledge discovery techniques to understand the usage patterns of the customers. This paper have a clear insight of Process mining , observation of web usage by customers (click stream data ) as sequence of tasks, and analysis and study on classification of users two important shopping behavior as bargain shopper and surgical shopper. The workflow model of these two types of shoppers and their real time behavior are analyzed using process mining tool and the observed model is shown in the petrinet.