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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 / edited by Paolo Ceravolo, Maurice van Keulen, María Teresa Gómez-López.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in business information processing 1865-1348 ; 379.
- Lecture Notes in Business Information Processing, 1865-1348 ; 379
- Language:
- English
- Subjects (All):
- Data mining.
- Information technology.
- Business--Data processing.
- Business.
- Application software.
- Data Mining and Knowledge Discovery.
- IT in Business.
- Information Systems Applications (incl. Internet).
- Computer Applications.
- Local Subjects:
- Data Mining and Knowledge Discovery.
- IT in Business.
- Information Systems Applications (incl. Internet).
- Computer Applications.
- Physical Description:
- 1 online resource (IX, 125 pages) : 53 illustrations, 43 illustrations in color.
- Edition:
- First edition 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-46633-6
- 9783030466336
- Access Restriction:
- Restricted for use by site license.
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