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Cluster-Based Energy-Efficient Communication in Underwater Wireless Sensor Networks Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Simplifying Spaghetti Processes to Find the Frequent Execution Paths

Authors : M. V. Manoj Kumar, Likewin Thomas, B. Annappa

Published in: Proceedings of First International Conference on Smart System, Innovations and Computing

Publisher: Springer Singapore

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Abstract

Control-flow discovery algorithms of Process Mining are capable of generating excellent process models until the process is structured (less number of activities and paths connecting between them). Otherwise, process model with Spaghetti structure will be generated. These models are unstructured, incomprehensible and cannot be used for operational support. This paper proposes the techniques for (1) converting Spaghetti (unstructured) process to Lasagna (structured) process, and (2) Identifying the frequent execution paths in the process under consideration.

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Footnotes
1
All control flow process models appear in this paper are created using process discovery tool Disco (https://​fluxicon.​com/​).
 
2
Discovered model should allow for the behaviour seen in the event log. A model having a good fitness is able to replay most of the traces in the log.
 
Literature
1.
Van der Aalst, W.M.: Process mining discovery, conformance and enhancement of business processes (2010)
2.
Van der Aalst, W.M., Weske, M., Grünbauer, D.: Case handling: a new paradigm for business process support. Data & Knowledge Engineering 53(2), 129–162 (2005)CrossRef
3.
Bose, R.J.C., Van der Aalst, W.M.: Abstractions in process mining: A taxonomy of patterns. In: International Conference on Business Process Management. pp. 159–175. Springer (2009)
4.
Bose, R.J.C., Van der Aalst, W.M.: Context aware trace clustering: Towards improving process mining results. In: SDM. pp. 401–412. SIAM (2009)
5.
Günther, C.W., Van Der Aalst, W.M.: Fuzzy mining–adaptive process simplification based on multi-perspective metrics. In: International Conference on Business Process Management. pp. 328–343. Springer (2007)
6.
Liu, D.T., Xu, X.W.: A review of web-based product data management systems. Computers in industry 44(3), 251–262 (2001)MathSciNetCrossRef
7.
Luengo, D., Sepúlveda, M.: Applying clustering in process mining to find different versions of a business process that changes over time. In: International Conference on Business Process Management. pp. 153–158. Springer (2011)
8.
Mans, R., Schonenberg, M., Song, M., Van der Aalst, W.M., Bakker, P.J.: Application of process mining in healthcare–a case study in a dutch hospital. In: International Joint Conference on Biomedical Engineering Systems and Technologies. pp. 425–438. Springer (2008)
9.
Mithas, S., Krishnan, M.S., Fornell, C.: Why do customer relationship management applications affect customer satisfaction? Journal of Marketing 69(4), 201–209 (2005)CrossRef
10.
Tsuiki, K., Majima, H., Ono, H., Suga, K., Toge, T., Akifuji, S.: Work flow management system (Aug 17 1999), uS Patent 5,940,829
11.
Van Der Aalst, W.M., Adriansyah, A., De Medeiros, A.K.A., Arcieri, F., Baier, T., Blickle, T., Bose, J.C., van den Brand, P., Brandtjen, R., Buijs, J., et al.: Process mining manifesto. In: International Conference on Business Process Management. pp. 169–194. Springer (2011)
Metadata
Title
Simplifying Spaghetti Processes to Find the Frequent Execution Paths
Authors
M. V. Manoj Kumar
Likewin Thomas
B. Annappa
Copyright Year
2018
Publisher
Springer Singapore
Book
Proceedings of First International Conference on Smart System, Innovations and Computing

Print ISBN: 978-981-10-5827-1

Electronic ISBN: 978-981-10-5828-8

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-5828-8_66

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