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Constructs competition miner: process control-flow discovery of BP-domain constructs. / Redlich, David; Molka, Thomas; Gilani, Wasif et al.
Business Process Management: 12th International Conference, BPM 2014, Haifa, Israel, September 7-11, 2014. Proceedings. ed. / Shazia Sadiq; Pnina Soffer; Hagen Völzer. Springer, 2014. p. 134-150 (Lecture Notes in Computer Science; Vol. 8659).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Redlich, D, Molka, T, Gilani, W
, Blair, GS & Rashid, A 2014,
Constructs competition miner: process control-flow discovery of BP-domain constructs. in S Sadiq, P Soffer & H Völzer (eds),
Business Process Management: 12th International Conference, BPM 2014, Haifa, Israel, September 7-11, 2014. Proceedings. Lecture Notes in Computer Science, vol. 8659, Springer, pp. 134-150.
https://doi.org/10.1007/978-3-319-10172-9_9APA
Redlich, D., Molka, T., Gilani, W.
, Blair, G. S., & Rashid, A. (2014).
Constructs competition miner: process control-flow discovery of BP-domain constructs. In S. Sadiq, P. Soffer, & H. Völzer (Eds.),
Business Process Management: 12th International Conference, BPM 2014, Haifa, Israel, September 7-11, 2014. Proceedings (pp. 134-150). (Lecture Notes in Computer Science; Vol. 8659). Springer.
https://doi.org/10.1007/978-3-319-10172-9_9Vancouver
Redlich D, Molka T, Gilani W
, Blair GS, Rashid A.
Constructs competition miner: process control-flow discovery of BP-domain constructs. In Sadiq S, Soffer P, Völzer H, editors, Business Process Management: 12th International Conference, BPM 2014, Haifa, Israel, September 7-11, 2014. Proceedings. Springer. 2014. p. 134-150. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-10172-9_9
Author
Bibtex
@inproceedings{b5f88a237ae642a7ba4f88234ae6d916,
title = "Constructs competition miner: process control-flow discovery of BP-domain constructs",
abstract = "Process Discovery techniques help a business analyst to understand the actual processes deployed in an organization, i.e. based on a log of events, the actual activity workflow is discovered. In most cases their results conform to general purpose representations like Petri nets or Causal nets which are preferred by academic scholars but difficult to comprehend for business analysts. In this paper we propose an algorithm that follows a top-down approach to directly mine a process model which consists of common BP-domain constructs and represents the main behaviour of the process. The algorithm is designed so it can deal with noise and not-supported behaviour. This is achieved by letting the different supported constructs compete with each other for the most suitable solution from top to bottom using ”soft” constraints and behaviour approximations. The key parts of the algorithm are formally described and evaluation results are presented and discussed.",
keywords = "Business process models, Business process development, Process discovery",
author = "David Redlich and Thomas Molka and Wasif Gilani and Blair, {Gordon S.} and Awais Rashid",
year = "2014",
doi = "10.1007/978-3-319-10172-9_9",
language = "English",
isbn = "9783319101712",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "134--150",
editor = "Shazia Sadiq and Pnina Soffer and V{\"o}lzer, {Hagen }",
booktitle = "Business Process Management",
}
RIS
TY - GEN
T1 - Constructs competition miner
T2 - process control-flow discovery of BP-domain constructs
AU - Redlich, David
AU - Molka, Thomas
AU - Gilani, Wasif
AU - Blair, Gordon S.
AU - Rashid, Awais
PY - 2014
Y1 - 2014
N2 - Process Discovery techniques help a business analyst to understand the actual processes deployed in an organization, i.e. based on a log of events, the actual activity workflow is discovered. In most cases their results conform to general purpose representations like Petri nets or Causal nets which are preferred by academic scholars but difficult to comprehend for business analysts. In this paper we propose an algorithm that follows a top-down approach to directly mine a process model which consists of common BP-domain constructs and represents the main behaviour of the process. The algorithm is designed so it can deal with noise and not-supported behaviour. This is achieved by letting the different supported constructs compete with each other for the most suitable solution from top to bottom using ”soft” constraints and behaviour approximations. The key parts of the algorithm are formally described and evaluation results are presented and discussed.
AB - Process Discovery techniques help a business analyst to understand the actual processes deployed in an organization, i.e. based on a log of events, the actual activity workflow is discovered. In most cases their results conform to general purpose representations like Petri nets or Causal nets which are preferred by academic scholars but difficult to comprehend for business analysts. In this paper we propose an algorithm that follows a top-down approach to directly mine a process model which consists of common BP-domain constructs and represents the main behaviour of the process. The algorithm is designed so it can deal with noise and not-supported behaviour. This is achieved by letting the different supported constructs compete with each other for the most suitable solution from top to bottom using ”soft” constraints and behaviour approximations. The key parts of the algorithm are formally described and evaluation results are presented and discussed.
KW - Business process models
KW - Business process development
KW - Process discovery
U2 - 10.1007/978-3-319-10172-9_9
DO - 10.1007/978-3-319-10172-9_9
M3 - Conference contribution/Paper
SN - 9783319101712
T3 - Lecture Notes in Computer Science
SP - 134
EP - 150
BT - Business Process Management
A2 - Sadiq, Shazia
A2 - Soffer, Pnina
A2 - Völzer, Hagen
PB - Springer
ER -
