Auflistung nach Autor:in "Mannhardt, Felix"
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- ZeitschriftenartikelFrom Low-Level Events to Activities - A Pattern-Based Approach.(EMISA Forum: Vol. 37, No. 1, 2017) Mannhardt, Felix; Leoni, Massimiliano de; Reijers, Hajo A.; Aalst, Wil M. P. van der; Toussaint, Pieter J.
- ZeitschriftenartikelPrivacy-Preserving Process Mining(Business & Information Systems Engineering: Vol. 61, No. 5, 2019) Mannhardt, Felix; Koschmider, Agnes; Baracaldo, Nathalie; Weidlich, Matthias; Michael, JudithPrivacy regulations for data can be regarded as a major driver for data sovereignty measures. A specific example for this is the case of event data that is recorded by information systems during the processing of entities in domains such as e-commerce or health care. Since such data, typically available in the form of event log files, contains personalized information on the specific processed entities, it can expose sensitive information that may be traced back to individuals. In recent years, a plethora of methods have been developed to analyse event logs under the umbrella of process mining. However, the impact of privacy regulations on the technical design as well as the organizational application of process mining has been largely neglected. This paper set out to develop a protection model for event data privacy which applies the well-established notion of differential privacy. Starting from common assumptions about the event logs used in process mining, this paper presents potential privacy leakages and means to protect against them. The paper also shows at which stages of privacy leakages a protection model for event logs should be used. Relying on this understanding, the notion of differential privacy for process discovery methods is instantiated, i.e., algorithms that aim at the construction of a process model from an event log. The general feasibility of our approach is demonstrated by its application to two publicly available real-life events logs.
- ZeitschriftenartikelPrivacy-preserving Process Mining: Differential - Privacy for Event Logs (Extended Abstract)(Informatik Spektrum: Vol. 42, No. 5, 2019) Mannhardt, Felix; Koschmider, Agnes; Baracaldo, Nathalie; Weidlich, Matthias; Michael, Judith
- ZeitschriftenartikelProcess Mining and Privacy in Smart Manufacturing(Informatik Spektrum: Vol. 42, No. 5, 2019) Mannhardt, Felix; Petersen, Sobah Abbas; Manuel Oliveira
- ZeitschriftenartikelQuantifying the Re-identication Risk of Event Logs for Process Mining.(EMISA Forum: Vol. 40, No. 1, 2020) Voigt, Saskia Nuñez von; Fahrenkrog-Petersen, Stephan A.; Janssen, Dominik; Koschmider, Agnes; Tschorsch, Florian; Mannhardt, Felix; Landsiedel, Olaf; Weidlich, Matthias
- ZeitschriftenartikelTrust and Privacy in Process Analytics(Enterprise Modelling and Information Systems Architectures (EMISAJ) – International Journal of Conceptual Modeling: Vol. 15, Nr. 8, 2020) Mannhardt, Felix; Koschmider, Agnes; Biermann, Lars; Lange, Jana; Tschorsch, Florian; Wynn, Moe ThandarThis paper summarizes the panel discussion at the 1st Workshop on Trust and Privacy in Process Analytics (TPPA) co-located with the 2nd International Conference on Process Mining. The panel discussed to what extend trust and privacy is embedded in applications of process mining and took place on 5th October 2020. The virtual session was chaired by Felix Mannhardt and Agnes Koschmider and the invited panelists were Moe Wynn, Jana Lange, Lars Biermann and Florian Tschorsch. The major challenges that this panel identified related to privacy-preserving process mining are to include (user-centric) privacy filters, understanding the privacy-utility trade-off and to link privacy-preserving techniques with dataset quality.
- ZeitschriftenartikelUser Centered and Privacy-Driven Process Mining System Design (Extended Abstract)(Informatik Spektrum: Vol. 42, No. 5, 2019) Michael, Judith; Koschmider, Agnes; Mannhardt, Felix; Baracaldo, Nathalie; Rumpe, Bernhard