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Datamining for Fraud Detecting, State of the Art

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2018) (AI2SD 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((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.

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Authors and Affiliations

  1. LaRIT Laboratory, Faculty of Science, Ibn Tofail University, Kenitra, Morocco

    Imane Bouazza & El Bachir Ameur

  2. Tax Department, Ministry of Economy and Finance, Rabat, Morocco

    Farid Ameur

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  1. Imane Bouazza
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  2. El Bachir Ameur
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  3. Farid Ameur
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Correspondence to Imane Bouazza .

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  1. Faculty of Sciences and Techniques, Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

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Bouazza, I., Ameur, E.B., Ameur, F. (2019). Datamining for Fraud Detecting, State of the Art. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2018). AI2SD 2018. Advances in Intelligent Systems and Computing, vol 915. Springer, Cham. https://doi.org/10.1007/978-3-030-11928-7_17

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