Abstract
Data extraction and preparation are the most time-consuming phases of any process mining project. Due to the variability on the sources of event data, it remains a highly manual process in most of the cases. Moreover, it is very difficult to obtain reliable event data in enterprise systems that are not process-aware. Some techniques, like redo log process mining, try to solve these issues by automating the process as much as possible, and enabling event extraction in systems that are not process aware. This paper presents the challenges faced by redo log, and traditional process mining, comparing both approaches at theoretical and practical levels. Finally, we demonstrate that the data obtained with redo log process mining in a real-life environment is, at least, as valid as the one extracted by the traditional approach.
Original language | English |
---|---|
Title of host publication | Business Process Management Workshops |
Subtitle of host publication | BPM 2017 International Workshops, Barcelona, Spain, September 10-11, 2017, Revised Papers |
Editors | E. Teniente, M. Weidlich |
Place of Publication | Dordrecht |
Publisher | Springer |
Pages | 573-587 |
Number of pages | 15 |
ISBN (Electronic) | 978-3-319-74030-0 |
ISBN (Print) | 978-3-319-74029-4 |
DOIs | |
Publication status | Published - 2018 |
Event | 15th International Conference on Business Process Management (BPM 2017) - Barcelona, Spain Duration: 10 Sept 2017 → 15 Sept 2017 Conference number: 15 https://bpm2017.cs.upc.edu/ |
Publication series
Name | Lecture Notes in Business Information Processing |
---|---|
Volume | 308 |
ISSN (Print) | 1865-1348 |
Conference
Conference | 15th International Conference on Business Process Management (BPM 2017) |
---|---|
Abbreviated title | BPM 2017 |
Country/Territory | Spain |
City | Barcelona |
Period | 10/09/17 → 15/09/17 |
Internet address |
Keywords
- Data quality
- Databases
- Event logs
- Process mining
- Redo logs