‬

Big data, Data mining and Behavioral tracking against modern Money-Laundering

Rabia Bouarioua (), Mohand Si and Si Mounir
Additional contact information
Rabia Bouarioua: UMBB - Université M'Hamed Bougara Boumerdes

Post-Print from HAL

Abstract: Our research aims to highlight the different modern programming techniques and methods used against money laundering. We will propose solutions within the literature of programming conceptualization that rely on the ability to analyze information and profile the individual to initiate a tracking process in order to allow the competent cells to intervene. Our study will also show that adequate conditions are necessary for the installation of such process on the Algerian national territory.

Keywords: Money-laundering Tracking Programming Behavior JEL Classification Codes: C61 K42 E59; Money-laundering; Tracking; Programming; Behavior JEL Classification Codes: C61; K42; E59 (search for similar items in EconPapers)
Date: 2022-12-04
Note: View the original document on HAL open archive server: https://cnrs.hal.science/hal-03904693
References: Add references at CitEc
Citations:

Published in International Journal of Economic Performance - المجلة الدولية للأداء الاقتصادي, 2022, 05 (02), https://www.asjp.cerist.dz/en/article/206509

Downloads: (external link)
https://cnrs.hal.science/hal-03904693/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03904693

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().