LoGo: Combining Local and Global Techniques for Predictive Business Process Monitoring

LoGo: Combining Local and Global Techniques for Predictive Business Process Monitoring

Abstract

Predicting process behavior in terms of the next activity to be executed and\or its timestamp can be crucial, e.g., to avoid impeding compliance violations or performance problems. Basically, two prediction techniques are conceivable, i.e., global and local techniques. Global techniques consider all process behavior at once, but might suffer from noise. Local techniques consider a certain subset of the behavior, but might loose the "big picture". A combination of both techniques is promising to balance out each others drawbacks, but exists so far only in an implicit and unsystematic way. We propose LoGo as a systematic combined approach based on a novel global technique and an extended local one. LoGo is evaluated based on real life execution logs from multiple domains, outperforming nine comparison approaches. Overall, LoGo results in explainable prediction models and high prediction quality.

Grafik Top
Authors
  • Böhmer, Kristof
  • Rinderle-Ma, Stefanie
Grafik Top
Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
CAiSE 2020 : 32nd International Conference on Advanced Information Systems Engineering
Divisions
Workflow Systems and Technology
Subjects
Kuenstliche Intelligenz
Event Location
France
Event Type
Conference
Event Dates
2020-06-08
Page Range
pp. 283-298
Date
2020
Export
Grafik Top