From the long and distinct period of history, information of customer become most significant for business oriented applications therefore Ecommerce has developed rapidly and become most significant for every business. With the advanced information technologies, firms are able to collect and store mountains of data describing their infinite offerings and different customer profiles, by which we are able to get information about customer needs and wants. Traditional forecasting methods are no longer agree for these situations. This research in addition to the principles of "Data Mining" segments which are implemented by K-Means algorithms and data from various e-commerce websites. This k-means algorithms shows a clear distinction between the segments of customer behaviour.

Keywords:DataMining, K-means algorithm, Navigation pattern, E-commerce, Click streams, Segmented