DisCoveR: Process Mining for Knowledge-Intensive Processes with DCR Graphs
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DisCoveR : Process Mining for Knowledge-Intensive Processes with DCR Graphs. / Slaats, Tijs.
In: CEUR Workshop Proceedings, Vol. 3424, 2023.Research output: Contribution to journal › Conference article › Research › peer-review
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TY - GEN
T1 - DisCoveR
T2 - 2023 Joint of the Workshop on Algorithms and Theories for the Analysis of Event Data and the International Workshop on Petri Nets for Twin Transition, ATAED and PN4TT 2023
AU - Slaats, Tijs
N1 - Publisher Copyright: © 2022 Copyright for this paper by its authors.
PY - 2023
Y1 - 2023
N2 - Constraint-based notations aim to model processes by capturing their underlying rules instead of a limited number of potential process flows, leaving maximum flexibility for the actor to choose the best-suited order of execution for a particular process instance. Dynamic Condition Response (DCR) graphs are a constraint-based notation that has seen significant industrial adoption. In recent years there have been made significant inroads into the development of process mining algorithms and techniques for DCR Graphs. In this paper, accompanying the keynote of the same name delivered at the workshop Algorithms & Theories for the Analysis of Event Data, we discuss some of these recent advances in process mining with DCR Graphs and conclude by identifying a number of open challenges for DCR-based process mining.
AB - Constraint-based notations aim to model processes by capturing their underlying rules instead of a limited number of potential process flows, leaving maximum flexibility for the actor to choose the best-suited order of execution for a particular process instance. Dynamic Condition Response (DCR) graphs are a constraint-based notation that has seen significant industrial adoption. In recent years there have been made significant inroads into the development of process mining algorithms and techniques for DCR Graphs. In this paper, accompanying the keynote of the same name delivered at the workshop Algorithms & Theories for the Analysis of Event Data, we discuss some of these recent advances in process mining with DCR Graphs and conclude by identifying a number of open challenges for DCR-based process mining.
KW - DCR Graphs
KW - Process Mining
UR - http://www.scopus.com/inward/record.url?scp=85163893275&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85163893275
VL - 3424
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
Y2 - 25 June 2023 through 30 June 2023
ER -
ID: 360260985