Saif Al Din Salem Ahmed received his master's degree from the Department of Computer Sciences / University of Technology for his thesis entitled (Development of the model of detecting anomalies in the e-commerce database system). This thesis proposes designing a system for detecting anomalies for e-commerce sites. This proposed system consists of the first two phases of the consolidation phase and the second the classification phase. In the first stage, the modified PMK-MEMS algorithm was proposed as a first step for data collection and the SVM algorithm as a second stage of data classification to solve the problems and abnormal movements of e-commerce data. The proposed amendment will be applied as a pre-processing of the PMK-MEMS algorithm. The main objective is to generate aggregates of e-commerce transactions for the anomalous data set and then apply the SVM algorithm to classify the data set and detect the anomalies of the data set.

The discussion was on Monday 14/5/2018 at the discussion hall in the annex of the department. The discussion committee was composed of Prof. Dr. Yousra Hussein Ali and Dr. Mohamed Natik Fadel from the University of Technology / Computer Sciences Department and (Dr. Inas Mohammed Hussein from Al Mustansiriya University / Faculty of Education / Department of Computer Science in the presence of the student supervisor (Dr. Abeer Tariq Mouloud).

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