Customer retention is very important issue. In this reasons, many studies have been conducted for customer retention to demonstrate the potential of data mining through experiments and case studies. But current customer retention procedures only focus on detection of potential defectors based on likelihood of defection overlooking cost. In this paper, we propose an economic procedure for profit...

We  deal with the relationship termination problem in the context of individual-level customer relationship management (CRM) and use a Markov decision process to determine the most appropriate occasion for termination of the relationship with a seemingly unprofitable customer. As a particular case, the beta-geometric/beta-binomial model is considered as the basis to define customer beha...

Correctly and effectively customer classification according to their characteristics and behaviors will be the most important resource for electronic marketing and online trading of network enterprises. A new customer classification algorithm for electronic commerce enterprises is advanced based on analyzing customer characteristics and behaviors. First, based on consumer characteristics and be...

This paper aimed to build unified pattern per customer not only represent normal behavior but also Fraud pattern that’s represented previously and confirmed as fraud transactions that’s facilitate studding fraudsters behavior. An enhancement for the proposed algorithm of Fraud Miner has been proposed. This enhancement involves introducing LINGO clustering Data mining algorithm by replacing Apri...

PurposeHotel Industry is one of the most substantial factors for Tourism Industry. It could provide the necessary substructures for Tourism. Therefore the growth in Tourism industry depends on growth in Hotel industry. Hotel industry had a major growth in recent years in Iran; therefore the purpose of this paper is to explore the customer satisfaction in hotel industry. This paper aims to ident...

1567-4223/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.elerap.2011.06.005 ⇑ Corresponding author. Tel.: +886 2 23111531x38 E-mail address: [email protected] (L.-C. As the profit margins of 3G mobile network operators gradually decline, and market competition becomes increasingly intensive, they must develop rich and diverse varieties of brand new application services to attrac...

Acquiring and retaining the most profitable customers is a big concern of a telecommunication operator to perform more targeted marketing therefore business demand and competition between mobile operators is becoming more based on life cycle of customers in the network. In order to improve customer satisfaction and fulfill requirements, several data mining technologies can be used. Many researc...