Abstract
We present the Performance Spectrum Miner, a ProM plugin, which implements a new technique for fine-grained performance analysis of processes. The technique uses the performance spectrum as a simple model, that maps all observed flows between two process steps together regarding their performance over time, and can be applied for event logs of any kinds of processes. The tool computes and visualizes performance spectra of processes, and provides rich functionality to explore various performance aspects. The demo is aimed to make process mining practitioners familiar with the technique and tool, and engage them into applying this tool for solving their daily process mining-related tasks.
| Original language | English |
|---|---|
| Title of host publication | BPMTracks 2018 |
| Editors | F. Casati |
| Publisher | CEUR-WS.org |
| Pages | 96-100 |
| Number of pages | 5 |
| Publication status | Published - Sep 2018 |
| Event | 16th International Conference on Business Process Management (BPM 2018) - Sydney, Australia Duration: 9 Sep 2018 → 14 Sep 2018 Conference number: 16 http://ceur-ws.org/Vol-2196/ |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Volume | 2196 |
| ISSN (Print) | 1613-0073 |
Conference
| Conference | 16th International Conference on Business Process Management (BPM 2018) |
|---|---|
| Abbreviated title | BPM 2018 |
| Country/Territory | Australia |
| City | Sydney |
| Period | 9/09/18 → 14/09/18 |
| Other | Dissertation Award, Demonstration, and Industrial Track at BPM |
| Internet address |
Keywords
- Performance analysis
- Performance spectrum
- Process mining