The Informatics Institute for Postgraduate Studies (IIPS) at the University of Information Technology and Communications (UoITC) discussed the master’s thesis of the student Asmaa Abdulaziz Dakhel, within the field of computer science, which was entitled
“Accelerating International Trade Between Europe and Iraq in the Context of the Tanmia Road Based on Data Mining Methods”

The study aims to employ data mining method and machine learning algorithms to accelerate trade exchange processes between Europe and Iraq, especially within the framework of the Development Road project, by building a predictive model based on data mining algorithms such as the random forest algorithm, the support vector algorithm, the nearest neighbors algorithm and the decision tree and comparing their performance. The random forest algorithm has also been improved, given the importance of the trade balance and the failure of previous studies to accurately predict the trade balance.

The researcher emphasized that the importance of the study stems from the need to accurately analyze and forecast the trade balance to support economic decision-making, especially in light of the limited previous studies that dealt with this topic.

At the conclusion of the discussion, the student obtained a master’s degree with a “Very Good” grade in computer science.