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Data-Driven Process Discovery and Analysis de Paolo Ceravolo

Data-Driven Process Discovery and Analysis

Editat de Paolo Ceravolo, Maurice van Keulen, María Teresa Gómez-López
en Limba Engleză Paperback – 25 apr 2020
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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Specificații

ISBN-13: 9783030466329
ISBN-10: 3030466329
Pagini: 136
Ilustrații: IX, 125 p. 53 illus., 43 illus. in color.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.22 kg
Ediția:1st ed. 2020
Editura: Springer
Locul publicării:Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

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.