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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 3    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 3,March 2012
Detecting Telecommunication Fraud using Neural Networks through Data Mining
Full Text(PDF, )  PP.139-143  
Author(s)
Mohammad Iquebal Akhter, Dr. Mohammad Gulam Ahamad
KEYWORDS
Artifical intelligence, Artifical neural networks ANN's , coral systems, Data mining, Expert system, FALCON, or credit card users, fraud management system, ghosting, knowledge base system, rule based system, telecommunication fraud, threshholding system
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.
References
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