Analysis of Process Mining Model Using Frequentgroup Based Noise Filtering Algorithm

Provided by: International Journal of Engineering Research and Applications (IJERA)
Topic: Data Management
Format: PDF
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 capable of automatically 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 concept frequent group based noise filtering algorithm.

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