Skip to main content

A recommender system for process discovery

Publication ,  Conference
Ribeiro, J; Carmona, J; Misir, M; Sebag, M
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2014

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. © 2014 Springer International Publishing Switzerland.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 2014

Volume

8659 LNCS

Start / End Page

67 / 83

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Ribeiro, J., Carmona, J., Misir, M., & Sebag, M. (2014). A recommender system for process discovery. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8659 LNCS, pp. 67–83). https://doi.org/10.1007/978-3-319-10172-9_5
Ribeiro, J., J. Carmona, M. Misir, and M. Sebag. “A recommender system for process discovery.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8659 LNCS:67–83, 2014. https://doi.org/10.1007/978-3-319-10172-9_5.
Ribeiro J, Carmona J, Misir M, Sebag M. A recommender system for process discovery. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2014. p. 67–83.
Ribeiro, J., et al. “A recommender system for process discovery.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8659 LNCS, 2014, pp. 67–83. Scopus, doi:10.1007/978-3-319-10172-9_5.
Ribeiro J, Carmona J, Misir M, Sebag M. A recommender system for process discovery. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2014. p. 67–83.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 2014

Volume

8659 LNCS

Start / End Page

67 / 83

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences