Bridging abstraction layers in process mining

Baier, Thomas and Mendling, Jan and Weske, Mathias (2014) Bridging abstraction layers in process mining. Information Systems, 46. pp. 123-139. ISSN 0306-4379


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While the maturity of process mining algorithms increases and more process mining tools enter the market, process mining projects still face the problem of different levels of abstraction when comparing events with modeled business activities. Current approaches for event log abstraction try to abstract from the events in an automated way that does not capture the required domain knowledge to fit business activities. This can lead to misinterpretation of discovered process models. We developed an approach that aims to abstract an event log to the same abstraction level that is needed by the business. We use domain knowledge extracted from existing process documentation to semi-automatically match events and activities. Our abstraction approach is able to deal with n:m relations between events and activities and also supports concurrency. We evaluated our approach in two case studies with a German IT outsourcing company.

Item Type: Article
Additional Information: To see the final version of this paper please visit the publisher's website. Access to the published version requires a subscription. The original publication is available at
Keywords: Process Mining / Abstraction / Event Mapping
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft
Version of the Document: Draft
Depositing User: ePub Administrator
Date Deposited: 01 Dec 2014 13:56
Last Modified: 14 Sep 2018 15:51
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