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Integrating computer log files for process mining: a genetic algorithm inspired technique

Jan Claes (UGent) and Geert Poels (UGent)
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Abstract
Process mining techniques are applied to single computer log files. But many processes are supported by different software tools and are by consequence recorded into multiple log files. Therefore it would be interesting to find a way to automatically combine such a set of log files for one process. In this paper we describe a technique for merging log files based on a genetic algorithm. We show with a generated test case that this technique works and we give an extended overview of which research is needed to optimise and validate this technique.
Keywords
Business Process Modeling, Process Mining, Tool-Support for Modeling, Process Discovery, Log File Merging

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MLA
Claes, Jan, and Geert Poels. “Integrating Computer Log Files for Process Mining: a Genetic Algorithm Inspired Technique.” Lecture Notes in Business Information Processing. Ed. Camille Salinesi & Oscar Pastor. Vol. 83. Berlin, Germany: Springer, 2011. 282–293. Print.
APA
Claes, J., & Poels, G. (2011). Integrating computer log files for process mining: a genetic algorithm inspired technique. In C. Salinesi & O. Pastor (Eds.), LECTURE NOTES IN BUSINESS INFORMATION PROCESSING (Vol. 83, pp. 282–293). Presented at the 1st Workshop on Integration of IS Engineering Tools (INISET 2011), Berlin, Germany: Springer.
Chicago author-date
Claes, Jan, and Geert Poels. 2011. “Integrating Computer Log Files for Process Mining: a Genetic Algorithm Inspired Technique.” In Lecture Notes in Business Information Processing, ed. Camille Salinesi and Oscar Pastor, 83:282–293. Berlin, Germany: Springer.
Chicago author-date (all authors)
Claes, Jan, and Geert Poels. 2011. “Integrating Computer Log Files for Process Mining: a Genetic Algorithm Inspired Technique.” In Lecture Notes in Business Information Processing, ed. Camille Salinesi and Oscar Pastor, 83:282–293. Berlin, Germany: Springer.
Vancouver
1.
Claes J, Poels G. Integrating computer log files for process mining: a genetic algorithm inspired technique. In: Salinesi C, Pastor O, editors. LECTURE NOTES IN BUSINESS INFORMATION PROCESSING. Berlin, Germany: Springer; 2011. p. 282–93.
IEEE
[1]
J. Claes and G. Poels, “Integrating computer log files for process mining: a genetic algorithm inspired technique,” in LECTURE NOTES IN BUSINESS INFORMATION PROCESSING, London, UK, 2011, vol. 83, pp. 282–293.
@inproceedings{1198364,
  abstract     = {Process mining techniques are applied to single computer log files. But many processes are supported by different software tools and are by consequence recorded into multiple log files. Therefore it would be interesting to find a way to automatically combine such a set of log files for one process. In this paper we describe a technique for merging log files based on a genetic algorithm. We show with a generated test case that this technique works and we give an extended overview of which research is needed to optimise and validate this technique.},
  author       = {Claes, Jan and Poels, Geert},
  booktitle    = {LECTURE NOTES IN BUSINESS INFORMATION PROCESSING},
  editor       = {Salinesi, Camille and Pastor, Oscar},
  isbn         = {9783642220555},
  issn         = {1865-1348},
  keywords     = {Business Process Modeling,Process Mining,Tool-Support for Modeling,Process Discovery,Log File Merging},
  language     = {eng},
  location     = {London, UK},
  pages        = {282--293},
  publisher    = {Springer},
  title        = {Integrating computer log files for process mining: a genetic algorithm inspired technique},
  volume       = {83},
  year         = {2011},
}

Web of Science
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