Abstract
Aggregation of event data is a key operation in process mining for revealing behavioral features of processes for analysis. It has primarily been studied over sequences of events in event logs. The data model of event knowledge graphs enables new analysis questions requiring new forms of aggregation. We focus on analyzing task executions in event knowledge graphs. We show that existing aggregation operations are inadequate and propose new aggregation operations, formulated as query operators over labeled property graphs. We show on the BPIC’17 dataset that the new aggregation operations allow gaining new insights into differences in task executions, actor behavior, and work division.
Original language | English |
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Title of host publication | Process Mining Workshops - ICPM 2022 International Workshops, Revised Selected Papers |
Editors | Marco Montali, Arik Senderovich, Matthias Weidlich |
Publisher | Springer |
Pages | 493-505 |
Number of pages | 13 |
ISBN (Print) | 9783031278143 |
DOIs | |
Publication status | Published - 2023 |
Event | International Workshops on EDBA, ML4PM, RPM, PODS4H, SA4PM, PQMI, EduPM, and DQT-PM, held at the International Conference on Process Mining, ICPM 2022 - Bozen-Bolzano, Italy Duration: 23 Oct 2022 → 28 Oct 2022 |
Publication series
Name | Lecture Notes in Business Information Processing |
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Volume | 468 LNBIP |
ISSN (Print) | 1865-1348 |
ISSN (Electronic) | 1865-1356 |
Conference
Conference | International Workshops on EDBA, ML4PM, RPM, PODS4H, SA4PM, PQMI, EduPM, and DQT-PM, held at the International Conference on Process Mining, ICPM 2022 |
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Country/Territory | Italy |
City | Bozen-Bolzano |
Period | 23/10/22 → 28/10/22 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s).
Keywords
- Aggregation
- Knowledge graph
- Tasks