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Data-Driven Process Discovery and Analysis [electronic resource] : 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 /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Business Information Processing ; 379Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: IX, 125 p. 53 illus., 43 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030466336
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.312 23
LOC classification:
  • QA76.9.D343
Online resources:
Contents:
Designing Process-Centric Blockchain-based Architectures: A Case Study in e-voting as a Service -- Extracting Multiple Viewpoint Models from Relational Databases -- Standardizing Process-Data Exploitation by means of a Process-Instance Metamodel -- Exploiting Event Log Event Attributes in RNN Based Prediction -- General Model for Tracking Manufacturing Products Using Graph Databases -- Supporting Confidentiality in Process Mining Using Abstraction and Encryption.
In: Springer Nature eBookSummary: 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.
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Designing Process-Centric Blockchain-based Architectures: A Case Study in e-voting as a Service -- Extracting Multiple Viewpoint Models from Relational Databases -- Standardizing Process-Data Exploitation by means of a Process-Instance Metamodel -- Exploiting Event Log Event Attributes in RNN Based Prediction -- General Model for Tracking Manufacturing Products Using Graph Databases -- Supporting Confidentiality in Process Mining Using Abstraction and Encryption.

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.

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