nowadays, marketing managers are more concerned with identifying and understanding customer behavior in the online space. since the customers in online space are not visible, it is much essential to have more information about them to provide better services. customer segmentation is one way to improve the customer problems in an online space. identifying characteristics of customers and optima...

We consider a context-based dynamic pricing problem of online products, which have low sales. Sales data from Alibaba, major global retailer, illustrate the prevalence low-sale products. For these existing single-product algorithms do not work well due to insufficient samples. To address this challenge, we propose policies that concurrently perform clustering over product demand and set individ...

Most existing stream clustering algorithms adopt the online component and offline component. The disadvantage of two-phase algorithms is that they can not generate the final clusters online and the accurate clustering results need to be got through the offline analysis. Furthermore, the clustering algorithms for uncertain data streams are incompetent to find clusters of arbitrary shapes accordi...