Conformance Checking for Trace Fragments Using Infix and Postfix Alignments

被引：6

作者：

Schuster, Daniel ^{[1
,2
]}

Foecking, Niklas ^{[1
]}

van Zelst, Sebastiaan J. ^{[1
,2
]}

van der Aalst, Wil M. P. ^{[1
,2
]}

机构：

[1] Fraunhofer Inst Appl Informat Technol FIT, St Augustin, Germany

[2] Rhein Westfal TH Aachen, Aachen, Germany

来源：

COOPERATIVE INFORMATION SYSTEMS (COOPIS 2022) | 2022年 / 13591卷

关键词：

Process mining; Conformance checking; Alignments; NETS;

D O I：

10.1007/978-3-031-17834-4_18

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Conformance checking deals with collating modeled process behavior with observed process behavior recorded in event data. Alignments are a state-of-the-art technique to detect, localize, and quantify deviations in process executions, i.e., traces, compared to reference process models. Alignments, however, assume complete process executions covering the entire process from start to finish or prefixes of process executions. This paper defines infix/postfix alignments, proposes approaches to their computation, and evaluates them using real-life event data.

引用

页码：299 / 310

页数：12

共 27 条

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