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

Başlık:

ISBN:

9783030466336

Edition:

1st ed. 2020.

Yayın Bilgileri:

Cham : Springer International Publishing : Imprint: Springer, 2020.

Fiziksel Tanımlama:

IX, 125 p. 53 illus., 43 illus. in color. online resource.

Series:

Lecture Notes in Business Information Processing, 379

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.

Abstract:

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.

Subject Term:

Data mining.

Business information services.

Application software.

Data Mining and Knowledge Discovery.

IT in Business.

Computer and Information Systems Applications.

Added Author:

Ceravolo, Paolo.

van Keulen, Maurice.

Gómez-López, María Teresa.

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