Big data, data mining and behavioral tracking against modern money-laundering
Joint Authors
Si, Muhannad Munir
Bu Aryawah, al-Rabi
Source
International Journal of Economic Performance
Issue
Vol. 5, Issue 2 (31 Dec. 2022), pp.18-33, 16 p.
Publisher
Publication Date
2022-12-31
Country of Publication
Algeria
No. of Pages
16
Main Subjects
Banking and Financial Sciences
Topics
Abstract AR
هدف بحثنا تسليط الضوء على التقنيات و الأساليب الجديدة المختلفة من التقنيات المستخدمة ضد غسل ضمن الأموال.
سنقترح حلولا ضمن آليات البرمجة التي تعتمد على القدرة على تحليل المعلومات و الملف الشخصي للأفراد لبدء عملية تتبع من أجل السماح للهيئات المختصة بالتدخل.
ستظهر دراستنا الظروف اللازمة و الضرورية لتطبيق هذه التقنيات على مستوى الاقتصاد الوطني الجزائري.
Abstract EN
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.
American Psychological Association (APA)
Bu Aryawah, al-Rabi& Si, Muhannad Munir. 2022. Big data, data mining and behavioral tracking against modern money-laundering. International Journal of Economic Performance،Vol. 5, no. 2, pp.18-33.
https://search.emarefa.net/detail/BIM-1469540
Modern Language Association (MLA)
Bu Aryawah, al-Rabi& Si, Muhannad Munir. Big data, data mining and behavioral tracking against modern money-laundering. International Journal of Economic Performance Vol. 5, no. 2 (Dec. 2022), pp.18-33.
https://search.emarefa.net/detail/BIM-1469540
American Medical Association (AMA)
Bu Aryawah, al-Rabi& Si, Muhannad Munir. Big data, data mining and behavioral tracking against modern money-laundering. International Journal of Economic Performance. 2022. Vol. 5, no. 2, pp.18-33.
https://search.emarefa.net/detail/BIM-1469540
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 32-33
Record ID
BIM-1469540