Provide a Model for Web Content Strategy, Using Data Mining Techniques
Hamed Hashemi, Kamal Eisapour, Mohammad Amin Alavi, Ali Alavi · 2014
A B S T R A C T Background: Application of data mining in the process of extracting data from a database and user experience of websites related to ecommerce. Objective: It is usually extracted by using data mining techniques and data server log files or data acquisition is performed using special software. In this paper, clustering methodology is applied to different customer behavior have a website selling software products have been introduced in the field. This classification can be used to profile for each group of customers. Results: In the present study, using unsupervised cluster analysis and observing patterns in the user clicked is exploring. Conclusion: The results obtained will help the team website maintenance through the understanding of users' behavior to improve the quality of your website. Thus, by analyzing data collected from website click streams, the kinds of behavior categories and then offers solutions for website design, better quality is available.