| Autor: |
Carmona, Josep, de Leoni, Massimiliano, DEPAIRE, Benoit, JOUCK, Toon |
| Přispěvatelé: |
Carmona, Josep, de Leoni, Massimiliano, DEPAIRE, Benoit, JOUCK, Toon |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
|
| Popis: |
Process Mining is a relatively young research discipline that aims to discover, monitor and improve processes based on real facts (and not assumptions) by extracting knowledge from event logs readily available in today’s (information) systems [1]. The lion’s share of attention of Process Mining has been devoted to Process Discovery,namely extracting process models - mainly business process models - from an event log. In the last decade, several new techniques for process discovery have been put forward. Each technique has been evaluated on separate event data, thus making it difficult to perform a comparative evaluation. However, in light of a continuously growing of strength and interest in Process Mining as a discipline, it becomes crucial to finally foster a comparison of existing discovery techniques. With this need at hand, we organized the first edition of the Process-Discovery contest, which was co-located with the BPM-2016 Conference in Rio de Janeiro (Brazil). |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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