The application of big data techniques in risk management: case study Algerian Customs

dc.contributor.advisorTir, Redha
dc.contributor.authorChemlal, Belkacem
dc.contributor.authorAdjal, Ramzi Boualem
dc.date.accessioned2025-06-02T12:50:03Z
dc.date.issued2020-10-07
dc.description.abstractBig data is the new hot trend in the business world. Lately, big data analytics has been taking massive leaps as a potential and applicable solution to almost every operational challenge company decision-makers are facing nowadays. This research strives to integrate the concepts of Big data, Fraud prediction, and risk management process. The purpose of this research is to find out how big data or big data tools like machine learning can be utilized in the processes of fraud prediction to make the risk management department of Algerian customs more efficient.
dc.identifier.urihttps://dspace.ensmanagement.edu.dz/handle/123456789/636
dc.language.isoen
dc.publisherKoléa: Ecole Nationale Supérieure de Management
dc.subjectGestion du risque
dc.subjectRisk management
dc.subjectFraude
dc.subjectBig Data
dc.subjectApprentissage automatique
dc.subjectMachine learning
dc.subjectAlgerian Customs
dc.titleThe application of big data techniques in risk management: case study Algerian Customs
dc.typeThesis

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