-In the recent years with the development of Internet technology the growth of World Wide Web exceeded all expectations. A lot of information is available in different formats and retrieving content has become a very difficult task. One possible approach to solve problem is Web Usage Mining (WUM).Web mining is the application of data mining on web data and web usage mining is an important compo...

A Bayesian latent variable model with classification and regression tree approach is built to overcome three challenges encountered by a bank in credit-granting process. These three challenges include (1) the bank wants to predict the future performance of an applicant accurately; (2) given current information about cardholders’ credit usage and repayment behavior, financial institutions would ...

This study investigates the banking behavior of Islamic bank customers in Bangladesh. By collecting data from a sample of 100 customers of Islamic banks, researchers conducted a comprehensive profile analysis, a number of chi-square tests, and t tests and found a number of key findings as to the behavior of Islamic bank customers in Bangladesh. First, most of the customers of Islamic banks fall...

Web usage mining is the application of web mining to discover the useful patterns from the web in order to understand and analyze the behavior of the web users and web based applications. It is the emerging research trend for today’s researchers. It entirely deals with web log files which contain the user website access information. It is an interesting thing to analyze and understand the user ...

Web usage mining techniques are increasingly used today to understand e-customers’ within-site behavior. We propose a data mining model that considers e-customers’ activities as a discrete-time semi-Markov process and explains their behavior. An algorithm is proposed to compute transition probability matrix and holding time mass functions from the site navigation data. Finally, the model is use...

As users increasingly participate in the community, social networking sites (SNS) are gaining attention in academic research. This study aims to explore perceived value influencing usage intention in SNS, and examines the mediation of customer satisfaction between perceived value and usage intention. Mediated regression analysis was used and 205 savvy SNS users in Taiwan were investigated. The ...

While customer segmentation for mobile services is typically based on demographics and reported use, smartphone measurement software enables to add directly observed user behavior. This explorative paper develops customer segmentation on relevant metrics from the perspective of network operators, handset manufacturers, and application developers. We analyze the results of a smartphone measureme...

The rise in smartphone and tablet usage, coupled with increasing data speeds, both mobile and fixed, is contributing to a geometric increase in the consumption of data services, enabling the so-called customer " Digital Lifestyle ". However, a corresponding decrease in traditional voice and text services has left communications service providers in a real bind. Even with the increase in data us...

Companies that offer loyalty reward programs believe that their programs have a long-run positive effect on customer evaluations and behavior. However, if loyalty rewards programs increase relationship durations and usage levels, customers will be increasingly exposed to the complete spectrum of service experiences, including experiences that may cause customers to switch to another service pro...

With the fast development of digital systems and concomitant information technologies, there is certainly an incipient spirit in the extensive overall economy to put together digital Customer Relationship Management (CRM) systems. This slanting is further more palpable in the telecommunications industry, in which businesses turn out to be increasingly digitalized. Customer churn prediction is a...