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Datamining for Fraud Detecting, State of the Art

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 915)

Abstract

Fraud detection is a rapidly developing field; several technologies have been used to prevent fraud such as data mining (DM). The use of data mining applications have shown their utility in different fields and have attracted increasing attention and popularity in the financial world. Data mining plays an important role in the field of fraud because it is often applied to extract and discover the truths hidden behind very large amounts of data. For this purpose, our contribution explores the applications of data mining techniques to fraud detection, and groups the various researches carried out in this field from 1966 to 2017. The result of this study will support and guide future research in this field.

Keywords

Datamining Fraud detection Intelligent system 

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Authors and Affiliations

  1. 1.LaRIT Laboratory, Faculty of ScienceIbn Tofail UniversityKenitraMorocco
  2. 2.Tax DepartmentMinistry of Economy and FinanceRabatMorocco

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