the organizations use all appropriate tools to improve their service to the customers. the detection of especial customers and the forecast of their behavior undoubtedly can play an important role in improvement of service. in this paper, a new statistical method called the mahalanobis taguchi system has been used for this purpose. this method is used for the analysis of real data of an insuran...

This research consists of three studies that offer an in depth analysis of the impact of e-commerce web site design. The first study examines online consumer behavior – does online consumer behavior follow the process model of purchasing?, can we observe the various motivations for online shopping (e.g., directed buying, hedonic browsing, search and deliberation vs. knowledge building)?, how ar...

Nowadays Web users are drowned in all kind of available information. However, only a tiny part of it is usually relevant to their preferences. Web usage mining which extracts knowledge for usage and clickstream data has become the subject of exhaustive research, as its potential for Web-based personalized services, prediction of user near future intentions, adaptive Web sites, and customer prof...

The article presents a survey of personalization and customization technologies. It starts with an analysis of user profiling and explains how user profiles can be used for generating personalized products and services. The article explains some standard personalization techniques such as rule-based filtering, collaborative filtering, and content-based filtering. Web usage mining is also explai...

electronic banking has many benefits for government, banks’ stakeholders and customers. many banks in many countries such as iran increasingly develop their infrastructures to provide e-banking services. also, there are many researches that have been conducted to explain how we can encourage people to use e-banking services. in this paper, we explore the effects of various factors on both custo...

Visual exploration of massive data sets arising in the telecommunication industry is a challenge. This paper describes a number of different techniques for visually exploring large data sets. The techniques cover a wide range of techniques, including statistical 2D displays, pixel-oriented displays, and dynamic 3D displays with variable resolution. The techniques have been successfully applied ...

This paper describes the automatic design of methods for detecting fraudulent behavior. Much of the design is accomplished using a series of machine learning methods. In particular, we combine data mining and constructive induction with more standard machine learning techniques to design methods for detecting fraudulent usage of cellular telephones based on profiling customer behavior. Specific...

This paper describes the automatic design of methods for detecting fraudulent behavior. Much of the de&,, ic nrrnm,-,li~h~rl ,,&,a n .am.L~ nf mn.-h;na lm..~:~~ e-. .. ..--..*.*yYYA’“.. UY.“b Y UISLUY “I III-Yllr IxuIY11~ methods. In particular, we combine data mining and constructive induction with more standard machine learning techniques to design methods for detecting fraudulent usage of ce...