Identification of Suspicious E-Banking Transactions Pattern

سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 580

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شناسه ملی سند علمی:

CITCOMP02_131

تاریخ نمایه سازی: 7 اسفند 1396

چکیده مقاله:

The volume of data of banks has increased over time due to providing various services. On the other hand, such growth and development have paved the new grounds for frauds and offenses. Therefore, fraud detection in the different fields of electronic banking has converted into a fundamental challenge and various methods have been employed for this purpose. Nowadays, procedures and thus fraud detections have become far more complicated with the technology developing and with the business processes becoming more complicated. This research could develop an identification model for suspicious transaction patterns on datasets including the data of transactions of one of the Iranian domestic banks through data mining techniques. It focused on optimizing model results, achieving maximum precision and recall in identification of suspicious transactions, and improving model reliability. RapidMiner was used as a tool for preparing data and modeling to realize research objectives.

کلیدواژه ها:

fraud ، identification of suspicious transactions ، decision tree ، optimization ، model reliability

نویسندگان

Roghaye Sadeghi

Department of Computer Engineering, Malard, Islamic Azad University, Tehran,Iran

Maryam Khademi

Assistant of Professor Department of Applied Mathematics, Islamic Azad University South Tehran Branch, Tehran, Iran

Seyed Mahdi Jamei

Assistant of Professor Department of Computer Engineering, Islamic Azad University, Shahr Qods Branch, Tehran, Iran