Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/17963| Title: | Generating Artificial Event Logs with Sufficient Discriminatory Power to Compare Process Discovery Techniques | Authors: | JOUCK, Toon DEPAIRE, Benoit |
Issue Date: | 2014 | Publisher: | CEUR | Source: | Ceravolo, Paolo; Accorsi, Rafael; Russo, Barbara (Ed.). Proceedings of the 4th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2014), p. 174-178 | Series/Report: | CEUR Workshop Proceedings | Series/Report no.: | 1293 | Abstract: | Past research revealed issues with artificial event data used for comparative analysis of process mining algorithms. The aim of this research is to design, implement and validate a framework for producing artificial event logs which should increase discriminatory power of artificial event logs when evaluating process discovery techniques. | Notes: | This paper is a research plan | Keywords: | artificial event logs; event log simulation; performance measurement of business processes | Document URI: | http://hdl.handle.net/1942/17963 | Link to publication/dataset: | http://ceur-ws.org/Vol-1293/ | Rights: | Creative Commons License | Category: | C1 | Type: | Proceedings Paper | Validations: | vabb 2016 |
| Appears in Collections: | Research publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| SIMPDA- paper 13.pdf | Peer-reviewed author version | 133.53 kB | Adobe PDF | View/Open |
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