The Department of Computer Science discussed the master's thesis tagged Fraud Detection in E-commerce using Hybird Methods "Detecting Fraud in Electronic Commerce Using Hybrid Methods" by Master's Student Suha Mohsen Najm, Computer Science/General, in the discussion room in the annex building of the Department of Computer Science. The thesis aims to build an effective model as a machine learning system to distinguish between fraudulent and legal transactions in the field of electronic commerce. The discussion committee consisted of Prof. Dr. Abeer Tariq Mouloud as chairman, Prof. Khaled Shaker Jassem as a member, Dr. Khalil Ibrahim Ghathwan as a member, and Dr. Suhad Malallah Kazem as a member and supervisor.
Source: Department's Media |