Comparative Evaluation of Log-Based Process Performance Analysis Techniques
Name
Kostiantyn Popov
Abstract
This paper gives a comparative overview of process mining performance studies and clusters them based on proposed metrics: time, quality and resources. This thesis provides an explanation of reasons for using process mining performance techniques and shows what value they can bring. We provide common metrics and unit of measurement that can be used to evaluate process performance analysis methods. Also, the paper describes tools and algorithms that have been implemented in the literature.
Graduation Thesis language
English
Graduation Thesis type
Master - Software Engineering
Supervisor(s)
Payman Fredrik Milani, Fabrizio Maggi
Defence year
2017