TY  - THES
A3  - Vossen, Gottfried
A3  - Vossen, G.
AB  - Process mining is a Business Process Management (BPM) technique that uses execution data of business processes for their analysis. By transforming the data to so-called event logs, process mining tools generate process models that describe the executions as close as possible. Process discovery can result either in graph-based notations (e.g., Petri nets or BPMN) or declarative ones like Declare. One hypothesis in this work is that declarative constraint templates can support model understanding in case process mining results in large, confusing "spaghetti" diagrams. Overall, this work contributes an approach including a prototypical implementation for applying association rule and sequential pattern mining to event logs for discovering declarative process models. Preprocessing steps and the transformation of rules and patterns to constraints in Declare are addressed explicitly. In this way, analysts receive transparent insights into the basis of the overall declarative model.
AU  - Grohmann, Nico
DA  - 2022
DO  - 10.17879/54059509128
KW  - Prozessmodellierung
KW  - Prozessmodellgenerierung
KW  - Assoziationsanalyse
KW  - Sequenzmusteranalyse
KW  - Process Mining
KW  - Data Mining
KW  - Declarative Process Mining
KW  - Process Discovery
KW  - Association Rule Mining
KW  - Sequential Pattern Mining
LA  - eng
N1  - Auch im Buchhandel erhältlich: Fundamental Data Mining Techniques for Declarative Process Mining / Nico Grohmann. – Hildesheim : Georg Olms Verlag, 2022. – XVII, 223 S. (Wissenschaftliche Schriften der WWU Münster : Reihe IV ; Bd. 21), ISBN 978-3-487-16155-6, Preis: 32,00 EUR
N1  - Münster (Westfalen), Univ., Diss., 2022
PY  - 2022
TI  - Fundamental Data Mining Techniques for Declarative Process Mining
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:6-54059510537
Y2  - 2024-12-27T06:59:18
ER  -