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Merging computer log files for process mining: an artificial immune system technique

Jan Claes (UGent) and Geert Poels (UGent)
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Abstract
Process mining techniques try to discover and analyse business processes from recorded process data. These data have to be structured in so called computer log files. If processes are supported by different computer systems, merging the recorded data into one log file can be challenging. In this paper we present a computational algorithm, based on the Artificial Immune System algorithm, that we developed to automatically merge separate log files into one log file. We also describe our implementation of this technique, a proof of concept application and a real life test case with promising results.
Keywords
Process Mining, Process Discovery, Business Process Modelling, MODELS, Log File Merging

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Chicago
Claes, Jan, and Geert Poels. 2011. “Merging Computer Log Files for Process Mining: An Artificial Immune System Technique.” In Lecture Notes in Business Information Processing, ed. F Daniel, K Barkaoui, and S Dustdar, 99:99–110. Berlin, Germany ; New York, NY, USA: Springer.
APA
Claes, J., & Poels, G. (2011). Merging computer log files for process mining: an artificial immune system technique. In F. Daniel, K. Barkaoui, & S. Dustdar (Eds.), LECTURE NOTES IN BUSINESS INFORMATION PROCESSING (Vol. 99, pp. 99–110). Presented at the 9th International Conference on Business Process Management (BPM - 2011), Berlin, Germany ; New York, NY, USA: Springer.
Vancouver
1.
Claes J, Poels G. Merging computer log files for process mining: an artificial immune system technique. In: Daniel F, Barkaoui K, Dustdar S, editors. LECTURE NOTES IN BUSINESS INFORMATION PROCESSING. Berlin, Germany ; New York, NY, USA: Springer; 2011. p. 99–110.
MLA
Claes, Jan, and Geert Poels. “Merging Computer Log Files for Process Mining: An Artificial Immune System Technique.” Lecture Notes in Business Information Processing. Ed. F Daniel, K Barkaoui, & S Dustdar. Vol. 99. Berlin, Germany ; New York, NY, USA: Springer, 2011. 99–110. Print.
@inproceedings{1847861,
  abstract     = {Process mining techniques try to discover and analyse business processes from recorded process data. These data have to be structured in so called computer log files. If processes are supported by different computer systems, merging the recorded data into one log file can be challenging. In this paper we present a computational algorithm, based on the Artificial Immune System algorithm, that we developed to automatically merge separate log files into one log file. We also describe our implementation of this technique, a proof of concept application and a real life test case with promising results.},
  author       = {Claes, Jan and Poels, Geert},
  booktitle    = {LECTURE NOTES IN BUSINESS INFORMATION PROCESSING},
  editor       = {Daniel,  F and Barkaoui, K and Dustdar, S},
  issn         = {1865-1348},
  keyword      = {Process Mining,Process Discovery,Business Process Modelling,MODELS,Log File Merging},
  language     = {eng},
  location     = {Clermont-Ferrand, France},
  number       = {2},
  pages        = {99--110},
  publisher    = {Springer},
  title        = {Merging computer log files for process mining: an artificial immune system technique},
  url          = {http://dx.doi.org/10.1007/978-3-642-28108-2\_9},
  volume       = {99},
  year         = {2011},
}

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