Affiliation:
1. Shenyang Ligong University
Abstract
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process model. And the model’s structural complexity directly impacts readability and quality of the model. Immune systems have many characteristics such as uniqueness, autonomous, recognition of foreigners, distributed detection, and noise tolerance. This paper outlines an alternative approach to business process mining utilizing an artificial immune systems (AIS) technique, and some main steps and operators were depicted.
Publisher
Trans Tech Publications, Ltd.
Reference11 articles.
1. B. Weber, M. Reichert, S. Rinderle, and W. Wild: Proceedings of 1th Int'l Workshop on Business Process Intelligence(2005), p.191.
2. C. J. Turner , A. Tiwari and J. Mehnen, : Proceedings of the 10th annual conference on Genetic and evolutionary computation(2008), p.1307.
3. W. M. P. van der Aalst, A. J. M. M. Weijters: Computers in Industry Vol. 53 (2004), p.231.
4. W. M. P. van der Aalst, B. F. van Dongen, J. Herbst, L. Maruster, G. Schimm, A.J.M.M. Weijters: Data and Knowledge Engineering Vol. 47(2003), p.237.
5. J. E. Cook and A. L. Wolf: ACM Transactions on Software Engineering and Methodology Vol. 7(1998), p.215.
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