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Change mining in adaptive process management systems

Published: 29 October 2006 Publication History

Abstract

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.

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Cited By

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  • (2017)Detecting Concept Drift in Processes using Graph Metrics on Process GraphsProceedings of the 9th Conference on Subject-oriented Business Process Management10.1145/3040565.3040566(1-10)Online publication date: 30-Mar-2017
  • (2015)Mining and Querying Process Change Information Based on Change TreesService-Oriented Computing10.1007/978-3-662-48616-0_17(269-284)Online publication date: 16-Nov-2015
  • (2014)Flexibility Requirements in Real-World Process Scenarios and Prototypical Realization in the Care DomainProceedings of the Confederated International Workshops on On the Move to Meaningful Internet Systems: OTM 2014 Workshops - Volume 884210.1007/978-3-662-45550-0_8(55-64)Online publication date: 27-Oct-2014
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Published In

cover image Guide Proceedings
ODBASE'06/OTM'06: Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
October 2006
1109 pages
ISBN:3540482873
  • Editors:
  • Robert Meersman,
  • Zahir Tari

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 29 October 2006

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Cited By

View all
  • (2017)Detecting Concept Drift in Processes using Graph Metrics on Process GraphsProceedings of the 9th Conference on Subject-oriented Business Process Management10.1145/3040565.3040566(1-10)Online publication date: 30-Mar-2017
  • (2015)Mining and Querying Process Change Information Based on Change TreesService-Oriented Computing10.1007/978-3-662-48616-0_17(269-284)Online publication date: 16-Nov-2015
  • (2014)Flexibility Requirements in Real-World Process Scenarios and Prototypical Realization in the Care DomainProceedings of the Confederated International Workshops on On the Move to Meaningful Internet Systems: OTM 2014 Workshops - Volume 884210.1007/978-3-662-45550-0_8(55-64)Online publication date: 27-Oct-2014
  • (2011)What BPM technology can do for healthcare process supportProceedings of the 13th conference on Artificial intelligence in medicine10.5555/2040981.2040984(2-13)Online publication date: 2-Jul-2011
  • (2011)Towards implicit knowledge discovery from ontology change log dataProceedings of the 5th international conference on Knowledge Science, Engineering and Management10.1007/978-3-642-25975-3_13(136-147)Online publication date: 12-Dec-2011
  • (2008)Change patterns and change support features - Enhancing flexibility in process-aware information systemsData & Knowledge Engineering10.1016/j.datak.2008.05.00166:3(438-466)Online publication date: 1-Sep-2008
  • (2007)Change patterns and change support features in process-aware information systemsProceedings of the 19th international conference on Advanced information systems engineering10.5555/1768029.1768084(574-588)Online publication date: 11-Jun-2007

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