The application of big data techniques in risk management: case study Algerian Customs
| dc.contributor.advisor | Tir, Redha | |
| dc.contributor.author | Chemlal, Belkacem | |
| dc.contributor.author | Adjal, Ramzi Boualem | |
| dc.date.accessioned | 2025-06-02T12:50:03Z | |
| dc.date.issued | 2020-10-07 | |
| dc.description.abstract | Big 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.uri | https://dspace.ensmanagement.edu.dz/handle/123456789/636 | |
| dc.language.iso | en | |
| dc.publisher | Koléa: Ecole Nationale Supérieure de Management | |
| dc.subject | Gestion du risque | |
| dc.subject | Risk management | |
| dc.subject | Fraude | |
| dc.subject | Big Data | |
| dc.subject | Apprentissage automatique | |
| dc.subject | Machine learning | |
| dc.subject | Algerian Customs | |
| dc.title | The application of big data techniques in risk management: case study Algerian Customs | |
| dc.type | Thesis |