Towards an Empirical Evaluation of Imperative and Declarative Process Mining
| Autor: | Christoffer Olling Back, Tijs Slaats, Søren Debois |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Process modeling
business.industry Process (engineering) Computer science media_common.quotation_subject Process mining 02 engineering and technology Plan (drawing) Notation computer.software_genre Field (computer science) 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Quality (business) Artificial intelligence business computer Natural language processing Standard model (cryptography) media_common |
| Zdroj: | Advances in Conceptual Modeling-ER 2018 Workshops Emp-ER, MoBiD, MREBA, QMMQ, SCME, Xian, China, October 22-25, 2018, Proceedings Advances in Conceptual Modeling-ER 2018 Workshops Emp-ER, MoBiD, MREBA, QMMQ, SCME, Xi'an, China, October 22-25, 2018, Proceedings Lecture Notes in Computer Science ISBN: 9783030013905 ER Workshops |
| DOI: | 10.1007/978-3-030-01391-2_24 |
| Popis: | Process modelling notations fall in two broad categories: declarative notations, which specify the rules governing a process; and imperative notations, which specify the flows admitted by a process. We outline an empirical approach to addressing the question of whether certain process logs are better suited for mining to imperative than declarative notations. We plan to attack this question by applying a flagship imperative and declarative miner to a standard collection of process logs, then evaluate the quality of the output models w.r.t. the standard model metrics of precision and generalisation. This approach requires perfect fitness of the output model, which substantially narrows the field of available miners; possible candidates include Inductive Miner and MINERful. With the metrics in hand, we propose to statistically evaluate the hypotheses that (1) one miner consistently outperforms the other on one of the metrics, and (2) there exist subsets of logs more suitable for imperative respectively declarative mining. |
| Databáze: | OpenAIRE |
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