Efficient process conformance checking on the basis of uncertain event-to-activity mappings

Han Van Der Aa, Henrik Leopold, Hajo A. Reijers

Veröffentlichungen: Beitrag in FachzeitschriftArtikelPeer Reviewed

Abstract

Conformance checking enables organizations to automatically identify compliance violations based on the analysis of observed event data. A crucial requirement for conformance-checking techniques is that observed events can be mapped to normative process models used to specify allowed behavior. Without a mapping, it is not possible to determine if an observed event trace conforms to the specification or not. A considerable problem in this regard is that establishing a mapping between events and process model activities is an inherently uncertain task. Since the use of a particular mapping directly influences the conformance of an event trace to a specification, this uncertainty represents a major issue for conformance checking. To overcome this issue, we introduce a probabilistic conformance-checking technique that can deal with uncertain mappings. Our technique avoids the need to select a single mapping by taking the entire spectrum of possible mappings into account. A quantitative evaluation demonstrates that our technique can be applied on a considerable number of real-world processes where existing conformance-checking techniques fail.

OriginalspracheEnglisch
Aufsatznummer8634941
Seiten (von - bis)927-940
Seitenumfang14
FachzeitschriftIEEE Transactions on Knowledge and Data Engineering
Jahrgang32
Ausgabenummer5
DOIs
PublikationsstatusVeröffentlicht - 1 Mai 2020

ÖFOS 2012

  • 102035 Data Science
  • 102015 Informationssysteme

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