Application of a Data Mining Process Model: A Case Study- Profiling Internet Banking Users in Jamaica

نویسندگان

  • Gunjan Mansingh
  • Lila Rao-Graham
  • Kweku-Muata Osei-Bryson
  • Annette Mills
چکیده

Internet banking has become widely available in Jamaica and yet there have been few studies to understand the characteristics of its users. For banks to improve their service and similar services it becomes imperative that they can justify the costs associated with these services. One of the ways these costs can be justified is if their customer base of internet banking users was to increase, this can be achieved if the characteristics (i.e. both demographic and behavioural) of the users can be identified. In this study, survey data of internet banking users and non-users was analyzed to develop predictive models which can be used to improve the uptake of this service. CRISP-DM methodology was used to improve the dependability and quality of the data mining results.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Designing an Intelligent Intrusion Detection System in the Electronic Banking Industry Using Fuzzy Logic

One of the most important obstacles to using Internet banking is the lack of Stability of transactions and some misuse in the course of transactions it is financial. That is why preventing unauthorized access Crime detection is one of the major issues in financial institutions and banks. In this article, a system of intelligence has been designed that recognizes Suspicious and unusual behaviors...

متن کامل

Identification and evaluation of factors affecting the adoption of e-banking in the customers of country's banking system (Case Study: Post Bank)

Today's world has been built on the basis of competition and uncertainty, thus the role of facilitators, such as technology and information technology is undeniable. In this research developed Technology Acceptance Model to identify and prioritizing the factors affecting was used on formation of decision and behavior of customers in adoption of Internet banking of Post Bank. The statistical pop...

متن کامل

Personal Credit Score Prediction using Data Mining Algorithms (Case Study: Bank Customers)

Knowledge and information extraction from data is an age-old concept in scientific studies. In industrial decision-making processes, the application of this concept gives rise to data-mining opportunities. Personal credit scoring is an ever-vital tool for banking systems in order to manage and minimize the inherent risks of the financial sector, thus, the design and improvement of credit scorin...

متن کامل

Identification of Fraud in Banking Data and Financial Institutions Using Classification Algorithms

In recent years, due to the expansion of financial institutions,as well as the popularity of the World Wide Weband e-commerce, a significant increase in the volume offinancial transactions observed. In addition to the increasein turnover, a huge increase in the number of fraud by user’sabnormality is resulting in billions of dollars in lossesover the world. T...

متن کامل

Identification of Fraud in Banking Data and Financial Institutions Using Classification Algorithms

In recent years, due to the expansion of financial institutions,as well as the popularity of the World Wide Weband e-commerce, a significant increase in the volume offinancial transactions observed. In addition to the increasein turnover, a huge increase in the number of fraud by user’sabnormality is resulting in billions of dollars in lossesover the world. T...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010