Advertisement

Data-Driven Process Discovery and Analysis

4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers

  • Paolo Ceravolo
  • Barbara Russo
  • Rafael Accorsi

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 237)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Maikel Leemans, Wil M. P. van der Aalst
    Pages 1-31
  3. B. F. A. Hompes, H. M. W. Verbeek, W. M. P. van der Aalst
    Pages 32-57
  4. Mahdi Alizadeh, Massimiliano de Leoni, Nicola Zannone
    Pages 58-78
  5. David Redlich, Thomas Molka, Wasif Gilani, Gordon Blair, Awais Rashid
    Pages 79-106
  6. Marco Anisetti, Claudio A. Ardagna, Ernesto Damiani, Nabil El Ioini
    Pages 107-122
  7. Back Matter
    Pages 123-123

About these proceedings

Introduction

This book constitutes the thoroughly refereed proceedings of the Fourth International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Milan, Italy, in November 2014.

The five revised full papers were carefully selected from 21 submissions. Following the event, authors were given the opportunity to improve their papers with the insights they gained from the symposium. During this edition, the presentations and discussions frequently focused on the implementation of process mining algorithms in contexts where the analytical process is fed by data streams. The selected papers underline the most relevant challenges identified and propose novel solutions and approaches for their solution.

Keywords

BPM Business Process Management Data Mining Process Analysis Process Mining

Editors and affiliations

  • Paolo Ceravolo
    • 1
  • Barbara Russo
    • 2
  • Rafael Accorsi
    • 3
  1. 1.Università degli Studi di MilanoCremaItaly
  2. 2.Free Univ Bozen,BolzanoBolzanoItaly
  3. 3.Universität FreiburgFreiburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-27243-6
  • Copyright Information IFIP International Federation for Information Processing 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-27242-9
  • Online ISBN 978-3-319-27243-6
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Engineering