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Matching events and activities by integrating behavioral aspects and label analysis

Baier, Thomas and Di Ciccio, Claudio and Mendling, Jan and Weske, Mathias (2017) Matching events and activities by integrating behavioral aspects and label analysis. Software & Systems Modeling. pp. 1-26. ISSN 1619-1374

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Abstract

Nowadays, business processes are increasingly supported by IT services that produce massive amounts of event data during the execution of a process. These event data can be used to analyze the process using process mining techniques to discover the real process, measure conformance to a given process model, or to enhance existing models with performance information. Mapping the produced events to activities of a given process model is essential for conformance checking, annotation and understanding of process mining results. In order to accomplish this mapping with low manual effort, we developed a semi-automatic approach that maps events to activities using insights from behavioral analysis and label analysis. The approach extracts Declare constraints from both the log and the model to build matching constraints to efficiently reduce the number of possible mappings. These mappings are further reduced using techniques from natural language processing, which allow for a matching based on labels and external knowledge sources. The evaluation with synthetic and real-life data demonstrates the effectiveness of the approach and its robustness toward non-conforming execution logs.

Item Type: Article
Additional Information: Open access funding provided by Vienna University of Economics and Business (WU).
Keywords: process mining / event mapping / business process intelligence / constraint satisfaction / DECLARE / natural language processing
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft > Mendling
Version of the Document: Published
Variance from Published Version: None
Depositing User: Elena Simukovic
Date Deposited: 30 May 2017 16:43
Last Modified: 30 May 2017 18:22
Related URLs:
FIDES Link: https://bach.wu.ac.at/d/research/results/81651/
URI: http://epub.wu.ac.at/id/eprint/5568

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