Volume : IV, Issue : II, February - 2015

Data Mining Techniques for Secure Online Financial Transactions in Banking Sector

Dr C. Sunil Kumar, Dr A. Srinivas

Abstract :

In this paper we provide a detailed summarization of data mining techniques that it is possible to characterize and detect false transactions over e commerce in a year, depending on the information, historical performance and characteristics, using different types of data mining techniques. As these days, businesses have become more concerned about using transaction data to generate knowledge about the world in which they function to as called “business intelligence.” The business intelligence is generated using tools such as data mining and knowledge discovery. Although much of that focus on business intelligence initially was generated about relationships with other firms, such as sales, increasingly there is a focus on internal processes. That focuses on generating business intelligence about internal processes, to facilitate management and monitoring of processes.

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Article: Download PDF    DOI : https://www.doi.org/10.36106/gjra  

Cite This Article:

Dr C.Sunil Kumar, Dr A.Srinivas Data Mining Techniques for Secure Online Financial Transactions in Banking Sector Global Journal For Research Analysis, Vol: 4, Issue: 2 February 2015


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