Leveraging regression algorithms for process performance predictions

Authors

Karthikeyan Ponnalagu, Robert BoschFollow
Aditya K. Ghose, University of WollongongFollow
Hoa K. Dam, University of WollongongFollow

RIS ID

131894

Publication Details

Ponnalagu, K., Ghose, A. & Dam, H. Khanh. (2018). Leveraging regression algorithms for process performance predictions. Lecture Notes in Computer Science, 11236 524-531. Hangzhou, China International Conference on Service-Oriented Computing

Abstract

Industry-scale context-aware processes typically manifest a large number of variants during their execution. Being able to predict the performance of a partially executed process instance (in terms of cost, time or customer satisfaction) can be particularly useful. Such predictions can help in permitting interventions to improve matters for instances that appear likely to perform poorly. This paper proposes an approach for leveraging the process context, process state, and process goals to obtain such predictions.