Ghent University Academic Bibliography

Advanced

Generating business process recommendations with a population-based meta-heuristic

Steven Mertens UGent, Frederik Gailly UGent and Geert Poels UGent (2015) Lecture Notes in Business Information Processing. 202. p.516-528
abstract
In order to provide both guidance and flexibility to users during process execution, recommendation systems have been proposed. Existing recommendation systems mainly focus on offering recommendation according to the process optimization goals (time, cost…). In this paper we offer a new approach that primarily focuses on maximizing the flexibility during execution. This means that by following the recommendations, the user retains maximal flexibility to divert from them later on. This makes it possible to handle (possibly unknown) emerging constraints during execution. The main contribution of this paper is an algorithm that uses a declarative process model to generate a set of imperative process models that can be used to generate recommendations.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
Run-time flexibility, Declarative process model, Recommender systems, Business processes
in
Lecture Notes in Business Information Processing
LNBIP
editor
Fabiana Fournier and Jan Mendling
volume
202
issue title
Business Process Management Workshops
pages
516 - 528
publisher
Springer
conference name
12th International Conference on Business Process Management (BPM)
conference location
Haifa, ISRAEL
conference start
2014-09-07
conference end
2014-09-11
Web of Science type
Proceedings Paper
Web of Science id
000364774100049
ISSN
1865-1348
ISBN
9783319158952
DOI
10.1007/978-3-319-15895-2_44
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
5930927
handle
http://hdl.handle.net/1854/LU-5930927
alternative location
http://link.springer.com/chapter/10.1007/978-3-319-15895-2_44
date created
2015-04-13 14:33:48
date last changed
2016-12-19 15:37:35
@inproceedings{5930927,
  abstract     = {In order to provide both guidance and flexibility to users during process execution, recommendation systems have been proposed. Existing recommendation systems mainly focus on offering recommendation according to the process optimization goals (time, cost{\textellipsis}). In this paper we offer a new approach that primarily focuses on maximizing the flexibility during execution. This means that by following the recommendations, the user retains maximal flexibility to divert from them later on. This makes it possible to handle (possibly unknown) emerging constraints during execution. The main contribution of this paper is an algorithm that uses a declarative process model to generate a set of imperative process models that can be used to generate recommendations.},
  author       = {Mertens, Steven and Gailly, Frederik and Poels, Geert},
  booktitle    = {Lecture Notes in Business Information Processing},
  editor       = {Fournier, Fabiana and Mendling, Jan},
  isbn         = {9783319158952},
  issn         = {1865-1348},
  keyword      = {Run-time flexibility,Declarative process model,Recommender systems,Business processes},
  language     = {eng},
  location     = {Haifa, ISRAEL},
  pages        = {516--528},
  publisher    = {Springer},
  title        = {Generating business process recommendations with a population-based meta-heuristic},
  url          = {http://dx.doi.org/10.1007/978-3-319-15895-2\_44},
  volume       = {202},
  year         = {2015},
}

Chicago
Mertens, Steven, Frederik Gailly, and Geert Poels. 2015. “Generating Business Process Recommendations with a Population-based Meta-heuristic.” In Lecture Notes in Business Information Processing, ed. Fabiana Fournier and Jan Mendling, 202:516–528. Springer.
APA
Mertens, Steven, Gailly, F., & Poels, G. (2015). Generating business process recommendations with a population-based meta-heuristic. In F. Fournier & J. Mendling (Eds.), Lecture Notes in Business Information Processing (Vol. 202, pp. 516–528). Presented at the 12th International Conference on Business Process Management (BPM), Springer.
Vancouver
1.
Mertens S, Gailly F, Poels G. Generating business process recommendations with a population-based meta-heuristic. In: Fournier F, Mendling J, editors. Lecture Notes in Business Information Processing. Springer; 2015. p. 516–28.
MLA
Mertens, Steven, Frederik Gailly, and Geert Poels. “Generating Business Process Recommendations with a Population-based Meta-heuristic.” Lecture Notes in Business Information Processing. Ed. Fabiana Fournier & Jan Mendling. Vol. 202. Springer, 2015. 516–528. Print.