Cortado: A dedicated process mining tool for interactive process discovery

被引:11
|
作者
Schuster, Daniel [1 ]
van Zelst, Sebastiaan J.
van der Aalst, Wil M. P.
机构
[1] Fraunhofer Inst Appl Informat Technol FIT, St Augustin, Germany
关键词
Process mining; Process discovery; Hybrid intelligence; Process querying; Conformance checking; Data visualization;
D O I
10.1016/j.softx.2023.101373
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Process discovery is an essential discipline within process mining, which deals with the data -driven generation of insights into operational processes. From event data that capture historical process executions, process discovery algorithms learn a process model describing the execution of the various activities involved. Such discovered models are crucial artifacts used by many process mining techniques. Most existing process discovery approaches can be classified as conventional-they function like a black-box approach and often learn models of poor quality from event data. Cortado is a software tool dedicated to interactive process discovery that lets users gradually learn process models from event data. Cortado leverages domain knowledge and insights extracted from data to develop process models in an interactive manner gradually. We describe Cortado's architecture and functionalities that contribute to the overall goal of interactive process discovery.(c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
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页数:8
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