Process mining techniques can be used to discover analyze and improve real processes by
extracting models from observed behavior. The aim of this book is conformance checking one of
the main areas of process mining. In conformance checking existing process models are compared
with actual observations of the process in order to assess their quality. Conformance checking
techniques are a way to visualize the differences between assumed process represented in the
model and the real process in the event log pinpointing possible problems to address and the
business process management results that rely on these models. This book combines both
application and research perspectives. It provides concrete use cases that illustrate the
problems addressed by the techniques in the book but at the same time it contains complete
conceptualization and formalization of the problem and the techniques and through evaluations
on the quality and the performance of the proposed techniques. Hence this book brings the
opportunity for business analysts willing to improve their organization processes and also
data scientists interested on the topic of process-oriented data science.
