Data Mining: An Improved Approach for Fraud Detection

Provided by: International Journal of Computer Science and Information Technologies
Topic: Data Management
Format: PDF
Fraud detection is a technique of identifying prohibited acts that are occurring around the world. It defines the skilled impostor, formalizes the key forms and sub forms of recognized frauds and reveals the gathered data nature. To analyze fraud patterns from data this paper represent preferred data mining techniques. Now-a-days, data mining is widely used concept, that can be used everywhere for analyzing data patterns. This paper reflects a mannered way by which any number of frauds can be analyzed.

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