Implementation of a Secure Data Mining Technology to Develop Acknowledge Based System in a Business Environment
Because the advancement of the internet, several small and large firms have developed their dealings with customers to offer goods through the internet worldwide. Online master]card deception or no card present deception is gradually rampant in the latest years because that the master]card is mainly exploited to demand payments by these firms on the internet. So it is necessary to verify safe transactions for master-card holders when consumption their master cards to do online payments for merchandise and facilities offered on the internet is a critical issue. Data mining has widely obtained recognition in struggle online master-card deception thanks to its efficient artificial intelligence (AI) methods and algorithms that can be applied to identify or forecast deception through Information Detection from uncommon behaviour resulted from collected data. In this research, a systemfs model for online master card fraud detection is discussed and designed. This system implements and tested using Data mining to detect fraud in a real time transaction on the internet, and thereby classifying the transaction as legitimate, and illegitimate transaction.
Keywords: data mining, credit card, fraud detection, online shopping
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ABOUT THE AUTHOR
Zeyad Hamid
I am master student in business information system
Zeyad Hamid
I am master student in business information system