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A recommender system for process discovery

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10.1007/978-3-319-10172-9_5
 
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hdl:2117/24752

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Ribeiro, Joel
Carmona Vargas, JosepMés informacióMés informacióMés informació
Misir, Mustafa
Sebag, Michele
Document typeConference report
Defense date2014
PublisherSpringer
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
Over the last decade, several algorithms for process discovery and process conformance have been proposed. Still, it is well-accepted that there is no dominant algorithm in any of these two disciplines, and then it is often difficult to apply them successfully. Most of these algorithms need a close-to expert knowledge in order to be applied satisfactorily. In this paper, we present a recommender system that uses portfolio-based algorithm selection strategies to face the following problems: to find the best discovery algorithm for the data at hand, and to allow bridging the gap between general users and process mining algorithms. Experiments performed with the developed tool witness the usefulness of the approach for a variety of instances.
CitationRibeiro, J. [et al.]. A recommender system for process discovery. A: International Conference on Business Process Management. "Business Process Management: 12th International Conference, BPM 2014, Haifa, Israel, September 7-11, 2014: proceedings". Haifa: Springer, 2014, p. 67-83. 
URIhttp://hdl.handle.net/2117/24752
DOI10.1007/978-3-319-10172-9_5
ISBN978-331910171-2
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  • Departament de Ciències de la Computació - Ponències/Comunicacions de congressos [1.330]
  • ALBCOM - Algorísmia, Bioinformàtica, Complexitat i Mètodes Formals - Ponències/Comunicacions de congressos [345]
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