Completed Research Projects
IBM Machine Learning Praktikum
The aim of this practical course was to motivate the teams to elaborate a solution for a given problem, to develop a business case based on it, and implement a prototype to cover the case by using IBM AI tools.
Siemens Project: Continous Auditing and Fraud Detection
Fraud detection analyzes large dataset of enterprise resource planning systems to locate irregularities. Therefore, this project aimed to develop fraud patterns to reduce the number of false positives by combining red flag-based approach with process mining.
Löffler, Alexander; Levkovskyi, Borys; Prifti, Loina; Kienegger, Harald; Krcmar, Helmut: Teaching the Digital Transformation of Business Processes: Design of a Simulation Game for Information Systems Education. 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) , Siegen, Germany
Faizan, Niluefer Deniz; Löffler, Alexander; Heininger, Robert; Utesch, Matthias; Krcmar, Helmut: Classification of Evaluation Methods for the Effective Assessment of Simulation Games: Results from a Literature Review. International Journal of Engineering Pedagogy (iJEP) 9 (1), 2019
Prifti, Loina; Levkovskyi, Borys; Knigge, Marlene; Krcmar, Helmut: Developing an Evaluation Model for Information Systems Curricula. Multikonferenz Wirtschaftsinformatik, (2018) Lüneburg, Germany.
Baader, Galina; Krcmar, Helmut: Reducing false positives in fraud detection: Combining the red flag approach with process mining. International Journal of Accounting Information Systems 31, 2018, 1-16