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Leveraging Regression Algorithms for Predicting Process Performance Using Goal Alignments

  • Karthikeyan PonnalaguEmail author
  • Aditya Ghose
  • Hoa Khanh Dam
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 342)

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.

Keywords

Variability Contextual factor analysis Business process mining 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Karthikeyan Ponnalagu
    • 1
    Email author
  • Aditya Ghose
    • 2
  • Hoa Khanh Dam
    • 2
  1. 1.Robert BoschBangaloreIndia
  2. 2.University of WollongongWollongongAustralia

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