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Pure Utrecht University
Conference object . 2015
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Conference object . 2015
Data sources: WU Research
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Declarative Process Discovery with MINERful in ProM.

Authors: Claudio Di Ciccio; Mitchel H. M. Schouten; Massimiliano de Leoni; Jan Mendling;

Declarative Process Discovery with MINERful in ProM.

Abstract

Declarative process models consist of a set of constraints exerted over the execution of process activities. DECLARE is a declarative process modelling language that specifies a set of constraint templates along with their graphical notation. The automated discovery of DECLARE models aims at finding those constraints that are verified throughout a given event log. In this paper, we present a fast scalable tool for mining DECLARE models in ProM. Its usage is described with its application on a use case, based on a publicly available real-life benchmark. Keywords: Process Mining; Process Discovery; Declarative Processes

Countries
Austria, Italy, Netherlands, Italy
Keywords

Declarative Processes, Process Mining, Process Discovery, 502, Process Mining; Process Discovery; Declarative Processes, Declarative processes; Process discovery; Process mining; Computer Science (all), 102

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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