An Approach for Customer Behavior Analysis Using Web Mining

An Approach for Customer Behavior Analysis
Using Web Mining

Preeti Sharma & Sanjay Kumar
NIT Raipur, Raipur, Chattishgarh, India
E-mail: [e-mail] & [e-mail]

Abstract - Customer satisfaction is the key secret of success for all industries regardless of whether it is web enabled or not. This paper focuses the role of web mining in achieving a viable edge in business. Web mining is becoming the tool for success for those who adopt electronic means of operation for conducting their business. Web mining is the application of data mining techniques to discover patterns from the Web through content mining, structure mining, and usage mining. Web mining can contribute to a large extent in gaining a competitive advantage in business. Business goals should be well understood.
Keywords - Web Minning, Log data, Data Mining, Sesssionzation, Frequent path.

I. INTRODUCTION Customer relationship is one of the major applications of Web mining. A website should be designed to entice the customers. Web Mining analyses visitor 's behavior and makes predictions on their future interaction. This can be exploited to improve website performance and to recommend products or links based on user 's behavior. Visitors entering the site exhibits different behavior. They might just surf through or the process might end up in a purchase. For understanding customer behavior and thus improve the performance of your web site, certain standards should be used like perform mining on web log data
A. WEB MINING: The information space known as Web is a collection of resources (Web resources) residing on the Internet, that can be accessed using HTTP and protocols that derive from it. A resource "can be anything that has identity. Familiar examples include an electronic document, an image, a service (e.g., "today 's weather report for Los Angeles"), as well as a collection of other resources. Not all resources are network "retrievable"; e.g., human

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