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Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Aleksandra Kolosova
Application for the Detection of Anomalies in the Criminal Proceedings Based on the Analysis of Event Logs
Software Engineering
(Bachelor’s programme)
8
2019
Process mining (PM) is now widely used to analyze and improve processes in various spheres, such as banking or medicine. The PM methods make it possible to obtain and analyze models of existing processes based on a behavior recorded in event logs. As a result of such analysis, possible errors, deviations and bottlenecks in a control-flow can be revealed. Being aware of such anomalies is important in business process management. For normative type of processes deviations from the prescribed behavior are unacceptable.

At this work the focus is on the process of criminal proceedings, which is described in the criminal procedure code. The primary aim of the work is to study the possibility of applying the methods of PM to analyze the criminal proceedings. As a result of the study, a program for detection and visualization of anomalies should be developed. This program will significantly simplify the process of monitoring litigation and can be used in the analysis of the process by researchers of the institute for the rule of law.

The paper contains 36 pages, 3 chapters, 7 images, 32 references, 4 appendices.

Keywords: anomalies detection, criminal proceedings, conformance checking, event logs, process mining.

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