An efficient process mining model for Petri Nets in process discovery
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 4
Abstract
Abstract: Process mining is a process management system used to analyze business processes based on event logs. The knowledge is extracted from event logs by using knowledge retrieval techniques. The process mining algorithms are accomplished of inevitably discover models to give details of all the events registered in some log traces provided as input. The theory of regions is a valuable tool in process discovery: it aims at learning a formal model (Petri nets) from a set of traces. The main objective of this paper is to propose new concepts for noise filtering and label splitting problem. The experiment is done based on standard bench mark dataset HELIX and RALIC datasets. The performance of the proposed system is better than other existing methods.
Authors and Affiliations
V. Priyadharshini , Dr. A. Malathi
Keywords
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- EP ID EP157885
- DOI 10.9790/0661-16446568
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