Change mining in adaptive process management systems

Christian W. Günther, Stefanie Rinderle, Manfred Reichert, Wil Van Der Aalst

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

55 Scopus citations


The wide-spread adoption of process-aware information systems has resulted in a bulk of computerized information about real-world processes. This data can be utilized for process performance analysis as well as for process improvement. In this context process mining offers promising perspectives. So far, existing mining techniques have been applied to operational processes, i.e., knowledge is extracted from execution logs (process discovery), or execution logs are compared with some a-priori process model (conformance checking). However, execution logs only constitute one kind of data gathered during process enactment. In particular, adaptive processes provide additional information about process changes (e.g., ad-hoc changes of single process instances) which can be used to enable organizational learning. In this paper we present an approach for mining change logs in adaptive process management systems. The change process discovered through process mining provides an aggregated overview of all changes that happened so far. This, in turn, can serve as basis for all kinds of process improvement actions, e.g., it may trigger process redesign or better control mechanisms.

Original languageEnglish
Title of host publicationOn the Move to Meaningful Internet Systems 2006
Subtitle of host publicationCoopIS, DOA, GADA, and ODBASE - OTM Confederated International Conferences, CoopIS, DOA, GADA, and ODBASE 2006, Proceedings
PublisherSpringer Verlag
Number of pages18
ISBN (Print)3540482873, 9783540482871
StatePublished - 2006
Externally publishedYes
EventOTM Confederated International Conferences, CoopIS, DOA, GADA, and ODBASE 2006 - Montpellier, France
Duration: 29 Oct 20063 Nov 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4275 LNCS - I
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceOTM Confederated International Conferences, CoopIS, DOA, GADA, and ODBASE 2006


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