TY - BOOK
T1 - Towards an evaluation framework for process mining algorithms
AU - Rozinat, A.
AU - Alves De Medeiros, A.K.
AU - Günther, C.W.
AU - Weijters, A.J.M.M.
AU - Aalst, van der, W.M.P.
PY - 2007
Y1 - 2007
N2 - Although there has been a lot of progress in developing process
mining algorithms in recent years, no effort has been put in developing
a common means of assessing the quality of the models discovered
by these algorithms. In this paper, we outline elements of an evaluation
framework that is intended to enable (a) process mining researchers to
compare the performance of their algorithms, and (b) end users to evaluate
the validity of their process mining results. Furthermore, we describe
two possible approaches to evaluate a discovered model (i) using existing
comparison metrics that have been developed by the process mining research
community, and (ii) based on the so-called k-fold-cross validation
known from the machine learning community. To illustrate the application
of these two approaches, we compared a set of models discovered by
different algorithms based on a simple example log.
AB - Although there has been a lot of progress in developing process
mining algorithms in recent years, no effort has been put in developing
a common means of assessing the quality of the models discovered
by these algorithms. In this paper, we outline elements of an evaluation
framework that is intended to enable (a) process mining researchers to
compare the performance of their algorithms, and (b) end users to evaluate
the validity of their process mining results. Furthermore, we describe
two possible approaches to evaluate a discovered model (i) using existing
comparison metrics that have been developed by the process mining research
community, and (ii) based on the so-called k-fold-cross validation
known from the machine learning community. To illustrate the application
of these two approaches, we compared a set of models discovered by
different algorithms based on a simple example log.
M3 - Report
T3 - BPM reports
BT - Towards an evaluation framework for process mining algorithms
PB - BPMcenter. org
CY - Eindhoven
ER -