Data mining techniques for E-business intelligence

With the rapid development of E-business, enormous customer data is been accumulated daily in websites background databases. It is difficult to deal with by business systems due to the large number of online transactions Data mining techniques and tools can be used to analyze customers shopping behavior and consuming habits to better understand their needs and increase the profits of the organization. In this paper we have applied K-Means algorithm over sample data and determined the relationship between the types of customer´s behavior over their age and gender.