C4.5: programs for machine learning
C4.5: programs for machine learning
A work system view of DSS in its fourth decade
Decision Support Systems
Process Aware Information Systems: Bridging People and Software Through Process Technology
Process Aware Information Systems: Bridging People and Software Through Process Technology
Modern Business Process Automation: YAWL and its Support Environment
Modern Business Process Automation: YAWL and its Support Environment
Time prediction based on process mining
Information Systems
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Process Mining: Discovery, Conformance and Enhancement of Business Processes
History-aware, real-time risk detection in business processes
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part I
PETRI NETS'12 Proceedings of the 33rd international conference on Application and Theory of Petri Nets
Real-time risk monitoring in business processes: A sensor-based approach
Journal of Systems and Software
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This paper proposes a technique that supports process participants in making risk-informed decisions, with the aim to reduce the process risks. Risk reduction involves decreasing the likelihood and severity of a process fault from occurring. Given a process exposed to risks, e.g. a financial process exposed to a risk of reputation loss, we enact this process and whenever a process participant needs to provide input to the process, e.g. by selecting the next task to execute or by filling out a form, we prompt the participant with the expected risk that a given fault will occur given the particular input. These risks are predicted by traversing decision trees generated from the logs of past process executions and considering process data, involved resources, task durations and contextual information like task frequencies. The approach has been implemented in the YAWL system and its effectiveness evaluated. The results show that the process instances executed in the tests complete with significantly fewer faults and with lower fault severities, when taking into account the recommendations provided by our technique.