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Data-Driven Process Discovery and Analysis

8th IFIP WG 2.6 International Symposium, SIMPDA 2018, Seville, Spain, December 13–14, 2018, and 9th International Symposium, SIMPDA 2019, Bled, Slovenia, September 8, 2019, Revised Selected Papers

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Paolo Ceravolo

    1. Università degli Studi di Milano, Milan, Italy

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  2. Maurice van Keulen

    1. University of Twente, Enschede, The Netherlands

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    You can also search for this editor in PubMed   Google Scholar

  3. María Teresa Gómez-López

    1. University of Seville, Seville, Spain

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Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 379)

Included in the following conference series:

Conference proceedings info: SIMPDA 2018. SIMPDA 2019.

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Table of contents (6 papers)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Designing Process-Centric Blockchain-Based Architectures: A Case Study in e-voting as a Service

    • Emanuele Bellini, Paolo Ceravolo, Alessandro Bellini, Ernesto Damiani
    Pages 1-23

  3. Extracting Multiple Viewpoint Models from Relational Databases

    • Alessandro Berti, Wil van der Aalst
    Pages 24-51

  4. Standardizing Process-Data Exploitation by Means of a Process-Instance Metamodel

    • Antonio Cancela, Antonia M. Reina Quintero, María Teresa Gómez-López, Alejandro García-García
    Pages 52-66

  5. Exploiting Event Log Event Attributes in RNN Based Prediction

    • Markku Hinkka, Teemu Lehto, Keijo Heljanko
    Pages 67-85

  6. General Model for Tracking Manufacturing Products Using Graph Databases

    • Jorge Martinez-Gil, Reinhard Stumptner, Christian Lettner, Mario Pichler, Salma Mahmoud, Patrick Praher et al.
    Pages 86-100

  7. Supporting Confidentiality in Process Mining Using Abstraction and Encryption

    • Majid Rafiei, Leopold von Waldthausen, Wil M. P. van der Aalst
    Pages 101-123

  8. Back Matter

    Pages 125-125
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Other volumes

  1. Data-Driven Process Discovery and Analysis

Keywords

About this book

This book constitutes revised selected papers from the 8th and 9th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2018, held in Seville, Spain, on December 13–14, 2018, and SIMPDA 2019, held in Bled, Slovenia, on September 8, 2019. 

From 16 submissions received for SIMPDA 2018 and 9 submissions received for SIMPDA 2019, 3 papers each were carefully reviewed and selected for presentation in this volume. They cover theoretical issues related to process representation, discovery, and analysis or provide practical and operational examples of their application.

Editors and Affiliations

  • Università degli Studi di Milano, Milan, Italy

    Paolo Ceravolo

  • University of Twente, Enschede, The Netherlands

    Maurice van Keulen

  • University of Seville, Seville, Spain

    María Teresa Gómez-López

Bibliographic Information

  • Book Title: Data-Driven Process Discovery and Analysis

  • Book Subtitle: 8th IFIP WG 2.6 International Symposium, SIMPDA 2018, Seville, Spain, December 13–14, 2018, and 9th International Symposium, SIMPDA 2019, Bled, Slovenia, September 8, 2019, Revised Selected Papers

  • Editors: Paolo Ceravolo, Maurice van Keulen, María Teresa Gómez-López

  • Series Title: Lecture Notes in Business Information Processing

  • DOI: https://doi.org/10.1007/978-3-030-46633-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: IFIP International Federation for Information Processing 2020

  • Softcover ISBN: 978-3-030-46632-9Published: 25 April 2020

  • eBook ISBN: 978-3-030-46633-6Published: 24 April 2020

  • Series ISSN: 1865-1348

  • Series E-ISSN: 1865-1356

  • Edition Number: 1

  • Number of Pages: IX, 125

  • Number of Illustrations: 10 b/w illustrations, 43 illustrations in colour

  • Topics: Data Mining and Knowledge Discovery, IT in Business, Information Systems Applications (incl. Internet), Computer Applications

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