one of the main problems in dynamic customer segmentation is finding the dominant patterns of customer movements between different segments via time. accordingly, we concentrate on the customer dynamics in this paper and try to find different groups of customers in transmissions between segments via time. the dominant characteristics of these groups are also investigated. to obtain this objecti...

Data mining is most widely used in all fields because of its purposeful usage in the field where it is applied to. The techniques such as Clustering, Association rules and Classification take very important role in management. It is described that how these techniques are used to improve the customer relationship with the company which leads to a considerable profit. This paper deals with provi...

in this study, we considered some competitive learning methods which include hard competitive learning (hcl) and soft competitive learning (scl) with/ without fixed network dimensionality for reliability analysis in microarrays. in order to have a more extensive view, and keeping in mind that competitive learning methods aim at error minimization or entropy maximization (different kinds of func...

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...

The RFMmodel provides an effective measure for customers’ consumption behavior analysis, where three variables, namely, consumption interval, frequency, and money amount are used to quantify a customer’s loyalty and contribution. Based on the RFM value, customers can be clustered into different groups and the group information is very useful in market decision making. However, most previous wor...

this paper considers the multi-depot vehicle routing problem with time window in which each vehicle starts from a depot and there is no need to return to its primary depot after serving customers. the mathematical model which is developed by new approach aims to minimizing the transportation cost including the travelled distance, the latest and the earliest arrival time penalties. furthermore, ...

Since the increased importance is placed on customer equity in today’s business environment, many firms are focusing on the notion of customer loyalty and profitability to increasing market share. Building successful customer relationship management (CRM), a firm starts from identifying customers’ true value and loyalty since customer value can provide basic information to deploy more targeted ...

Network Data Mining and Analysis: The <$>{\cal {NEMESIS}}<$> Project p. 1 Privacy Preserving Data Mining: Challenges and Opportunities p. 13 Survey Papers (Invited) A Case for Analytical Customer Relationship Management p. 14 On Data Clustering Analysis: Scalability, Constraints, and Validation p. 28 Association Rules (I) Discovering Numeric Association Rules via Evolutionary Algori...