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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 270))

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Abstract

This chapter presents the concepts of processes, process models and event data, and provides an overview of the discipline that uses event data to improve process models, known as process mining. Moreover, the chapter introduces the reader to conformance checking – final goal of this book– the set of process mining techniques that focus on evaluate the difference between the assumed process model and the real process.

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Correspondence to Jorge Munoz-Gama .

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© 2016 Springer International Publishing AG

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Munoz-Gama, J. (2016). Introduction. In: Conformance Checking and Diagnosis in Process Mining. Lecture Notes in Business Information Processing, vol 270. Springer, Cham. https://doi.org/10.1007/978-3-319-49451-7_1

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  • DOI: https://doi.org/10.1007/978-3-319-49451-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49450-0

  • Online ISBN: 978-3-319-49451-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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