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Comparison of Distance Metrics for Trace Clustering in Process Mining : An Effort to Simplify Analysis of Usage Patterns in PACS / En jämförelse av distansmetriker för användning inom traceclus-tering i process mining

This study intended to validate if clustering could be used to simplify models generated with process mining. The intention was also to see if these clusters could suggest anything about user efficiency. To that end a new metric where devised, average mean duration deviation. This metric aimed to show if a trace was more or less efficient than a comparative trace. Since the intent was to find traces with similar characteristics the clustering was done with characteristic features instead of time efficiency features. The aim was to find a correlation between efficiency after the fact. A correlation with efficiency could not be found.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-184899
Date January 2022
CreatorsSjöbergsson, Christoffer
PublisherLinköpings universitet, Programvara och system
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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