Conformance Checking and Diagnosis in Process Mining

Comparing Observed and Modeled Processes

  • Jorge Munoz-Gama
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 270)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Jorge Munoz-Gama
    Pages 1-8
  3. Conformance Checking in Process Mining

    1. Front Matter
      Pages 9-9
    2. Jorge Munoz-Gama
      Pages 11-18
    3. Jorge Munoz-Gama
      Pages 19-29
  4. Precision in Conformance Checking

    1. Front Matter
      Pages 31-31
    2. Jorge Munoz-Gama
      Pages 33-38
    3. Jorge Munoz-Gama
      Pages 39-53
    4. Jorge Munoz-Gama
      Pages 55-59
    5. Jorge Munoz-Gama
      Pages 61-73
    6. Jorge Munoz-Gama
      Pages 75-84
    7. Jorge Munoz-Gama
      Pages 85-96
    8. Jorge Munoz-Gama
      Pages 97-106
    9. Jorge Munoz-Gama
      Pages 107-117
  5. Decomposition in Conformance Checking

    1. Front Matter
      Pages 119-119
    2. Jorge Munoz-Gama
      Pages 121-127
    3. Jorge Munoz-Gama
      Pages 129-139
    4. Jorge Munoz-Gama
      Pages 141-149
    5. Jorge Munoz-Gama
      Pages 151-161
    6. Jorge Munoz-Gama
      Pages 163-172

About this book

Introduction

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.

Keywords

process mining business process management business intelligence data mining conformance checking

Authors and affiliations

  • Jorge Munoz-Gama
    • 1
  1. 1.Departamento de Ciencia de la ComputaciónPontificia Universidad Católica de Chile, Escuela de Ingeniería, Macul, SantiagoChile

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-49451-7
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-49450-0
  • Online ISBN 978-3-319-49451-7
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356
  • About this book