Conformance Checking and Diagnosis in Process Mining - Comparing Observed and Modeled Processes (Paperback, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Business Information Processing, 270
Release date:	December 2016
First published:	2016
Authors:	Jorge Munoz-Gama
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Paperback
Pages:	202
Edition:	1st ed. 2016
ISBN-13:	978-3-319-49450-0
Categories:	Books > Social sciences > Politics & government > Public administration Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-319-49450-3
Barcode:	9783319494500

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