Detecting Telecommunication Fraud using Neural Networks through Data Mining

  • Akhter M
  • Ahamad M
N/ACitations
Citations of this article
32Readers
Mendeley users who have this article in their library.

Abstract

Abstract--- Neural computing refers to a pattern recognition methodology for machine learning. The resulting model from neural computing is often called an artificial neural network (ANN) or a neural network. Neural networks have been used in many business applications for pattern recognition, forecasting, prediction and classification. Neural network computing is a key component for any data mining tool kit. Applications of neural network based data mining tools are abound in finance, marketing, manufacturing, information systems and so on. This essay discusses in detail the role of artificial neural networks in prevention of telecommunication fraud.

Cite

CITATION STYLE

APA

Akhter, M. I., & Ahamad, M. G. (2012). Detecting Telecommunication Fraud using Neural Networks through Data Mining. International Journal of Scientific & Engineering Research, 3(3), 1–5. Retrieved from http://www.ijser.org

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free