Mohamed Metwally Elbanna <br/><br/>
Detection of criminal entities involved in money laundering using data mining /  
 اكتشاف الكيانات الاجرامية المتورطة فى غسل الاموال باستخدام التنقيب عن البيانات 
Mohamed Metwally Elbanna ; Supervised Hatem Elkadi , Mohamed Khafagy 
 - Cairo :   Mohamed Metwally Elbanna ,   2020 
 - 65 Leaves :   charts ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Computers and Artificial Intelligence - Department of Information Systems  
<br/><br/> Criminals do money laundry to hide theillegitimate sources of money. Money laundry has many stages that moneyflow has to go through to finally look legitimate, rule-based systems are implemented across differentbanks to detect structuring which is one technique of thelayering stage which sophisticated criminals can evade by unsatisfyingthe check rules.In this work, graph database and graph data mining are tobe used to overcome this limitation, the proposed techniquedoes this by using Clustering along with PageRank for detecting money launderers, our results have proven correct detection  
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<br/><br/><label>Subjects--Index Terms: </label>Anti-Money Laundering  Datamining  GraphDB, ,