Customer churn is the term which indicates the customer who is in the stage to leave the company. Particularly it is happening recurrently in the telecommunication industry and the telecom industries are also in a position to retain their customer to avoid the revenue loss. Prediction of such behaviour is very vital for the present market and competition and Data mining is the one of the effect...

We consider the (r|Xp)−medianoid problem in networks. Goods are assumed to be essential and the only decision criterion is the travel distance. The portion of demand captured by the competitors is modelled by a general capture function which includes the binary, partially binary and proportional customer choice rules as specific cases. We prove that, under certain conditions of the capture func...

Customer behavior mining in shopping activates is important from two perspectives namely, the perspective supplier of goods and the perspective of shop owners. Both groups want to know that their customers’ interest in which goods and identify which sequence of the goods that are most popular. The latter group will even change the manner of arrangements of goods in their shops, manner of good o...

Today, competition forces consumer goods manufacturers and retailers to differentiate from their competitors by specializing and by offering goods/services that are tailored towards one or more subgroups or segments of the market. Retailers understand that shoppers are heterogeneous in nature, that they possess different wants and needs and that it is impossible to satisfy them all. However, th...

We analyse the interaction between a seller and customers in a shop on the fruits and vegetables wholesale market in Marseille using an unique data set. We find that customers’ bargaining activity is correlated with the kind and location of the business. To determine how the interactions between the seller and the customers influence prices, we compare the price each customer pays for a given g...

We discuss the challenges of the 2009 KDD Cup along with our ideas and methodologies for modelling the problem. The main stages included aggressive nonparametric feature selection, careful treatment of categorical variables and tuning a gradient boosting machine under Bernoulli loss with trees.

In many application areas such as airlines and hotels a large number of bookings are typically cancelled. Explicitly taking into account cancellations creates an opportunity for increasing revenue. Motivated by this we propose a revenue management model based on Talluri and van Ryzin [27] that takes cancellations into account in addition to customer choice behaviour. Moreover, we consider overb...

Customer retention is a critical concern for most mobile network operators because of the increasing competition in the mobile services sector. This concern has driven companies to exploit data as an avenue to better understand customer needs. Data mining techniques such as clustering and classification have been adopted to understand customer retention in the mobile services industry. However,...

Queueing network formalisms are very good at describing the spatial movement of customers, but typically poor at describing how customers change as they move through the network. We present the PEPA Queues formalism, which uses the popular stochastic process algebra PEPA to represent the individual state and behaviour of customers and servers. We offer a formal semantics for PEPA Queues, plus a...

The commercial success of customer behavior and characteristics must be outweighed by the appropriate strategic planning. One of the most important criteria for the sustainability of a company is to minimize possibilities for making an incorrect decision. In addition, high importance shows the correct quantitatively dissemination of company resources with a vision of potential development. In t...