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

Jan Claes UGent and Geert Poels UGent (2011) LECTURE NOTES IN BUSINESS INFORMATION PROCESSING. 99(2). p.99-110
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.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
Process Mining, Process Discovery, Business Process Modelling, MODELS, Log File Merging
in
LECTURE NOTES IN BUSINESS INFORMATION PROCESSING
Lect. Notes Bus. Inf. Process.
editor
F Daniel, K Barkaoui and S Dustdar
volume
99
issue
2
issue title
Business process management workshops
pages
99 - 110
publisher
Springer
place of publication
Berlin, Germany ; New York, NY, USA
conference name
9th International Conference on Business Process Management (BPM - 2011)
conference location
Clermont-Ferrand, France
conference start
2011-08-28
conference end
2011-09-02
Web of Science type
Proceedings Paper
Web of Science id
000310558400009
ISSN
1865-1348
DOI
10.1007/978-3-642-28108-2_9
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1847861
handle
http://hdl.handle.net/1854/LU-1847861
date created
2011-06-29 19:14:32
date last changed
2015-06-17 09:48:23
@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},
}

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.