Abstract
We introduce a new ProM plugin called Discover Context-Rich LPMs which mines a log for large local process models (LPMs) based on supported words. The main advantage of this plugin is that it produces much larger and much fewer LPMs than other tools. The plugin is packaged with an additional plugin called Generate HTML coverage report which calculates the coverage of LPMs along with several other quality measures. This extra plugin is useful to select and improve a set of LPMs.
| Original language | English |
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| Title of host publication | ICPM 2022 Doctoral Consortium and Demo Track 2022 |
| Subtitle of host publication | Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 (ICPM-D 2022), Bolzano, Italy, October, 2022 |
| Editors | Marwan Hassani, Agnes Koschmider, Marco Comuzzi, Fabrizio Maria Maggi, Luise Pufahl |
| Publisher | CEUR-WS.org |
| Pages | 100-103 |
| Number of pages | 4 |
| Publication status | Published - 2022 |
| Event | 4th International Conference on Process Mining, ICPM 2022 - Bolzano, Italy Duration: 23 Oct 2022 → 28 Oct 2022 Conference number: 4 |
Publication series
| Name | CEUR Workshop Proceedings |
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| Volume | 3299 |
| ISSN (Print) | 1613-0073 |
Conference
| Conference | 4th International Conference on Process Mining, ICPM 2022 |
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| Abbreviated title | ICPM 2022 |
| Country/Territory | Italy |
| City | Bolzano |
| Period | 23/10/22 → 28/10/22 |
Keywords
- coverage
- interactive process discovery
- process analytics
- process mining
- ProM
- Sets of LPMs