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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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Method to Improve Workflow Net Decomposition for Process Model Repair - experiments

Authors: Tikhonov, Semyon; Mitsyuk, Alexey A.;

Method to Improve Workflow Net Decomposition for Process Model Repair - experiments

Abstract

This repository contains data that was used to carry out experiments as well as the results of these experiments. File names are presented in the following format: LM2-[repair method]-[b/f]-[number of experiment], where: - repair method may take values "Greedy" or "Smart". "Greedy" means that the repair method of the model was greedy algorithm working with maximal decomposition. "Smart" means that the repair method was greedy algorithm as well, with the difference of decomposition method being the developed one. - "b" (broken) means that the model has not undergone repair. "f" (fixed) means that the file presents a repaired model (the one which fits the initial log perfectly). - number of experiment ranging from 1 to 10. This repository also contains the following files: - LM2-CL.xes - the initial LM2 model log; - LM2-CM.pnml - the initial LM2 model; - LM2-Greedy-data.txt - auto-generated measurements of greedy approach performance; - LM2-Smart-data.txt - auto-generated measurements of smart (developed) approach perfomance.

Keywords

event logs, process model repair, workflow nets

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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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