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Banking Crime Detection using SQL
 Nekorancová, Kateřina ; Merunka, Vojtěch (advisor) ; Radek, Radek (referee)
This bachelor thesis on Banking Crime Detection using SQL focuses in theoretical part on approach to databases. It describes progression of database, methods of storing data in databases according to defined rules, interrelationships between tables and normalization process. It contains approach to bank fraud, distribution of fraud, instruments to assist the detection of fraud and follow prevention of iteration whit the use of database systems. Practical part contains proposal possible screenplay fraud uses knowledge of theoretical part. It contains sample tables containig data about clients, filed application and employers, which clients indicated in the application, and blacklist table to authentication company. Tables are linked through keys and suspicionus company are selected from tables. Company is regarded as suspicionus if it grows at the amount of application submitted. That company is verified in table blacklist.
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