Data-Driven Process Discovery and Analysis

7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised Selected Papers
1. Auflage 2019
ISBN: 978-3-030-11637-8
Verlag: Springer International Publishing

Buch, Englisch, Band 340, 129 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 224 g

Reihe: Lecture Notes in Business Information Processing

This book constitutes the revised selected papers from the 7th IFIP WG 2.6 International Symposium  on Data-Driven Process Discovery and Analysis, SIMPDA 2017, held in Neuchatel, Switzerland, in December 2017.
The 6 papers presented in this volume were carefully reviewed and selected from 19 submissions. They cover theoretical issues related to process representation, discovery, and analysis or provide practical and operational examples of their application.

Zielgruppe

Research

Autoren/Hrsg.

Ceravolo, Paolo

Stoffel, Kilian

van Keulen, Maurice

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Wirtschaftswissenschaften Betriebswirtschaft Management Prozessmanagement
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management

Inhaltsverzeichnis

Online Detection of Operator Errors In Cloud Computing Using Anti-Patterns.- Executing Lifecycle Processes in Object-aware Process Management.- Towards semantic process mining through knowledge-based trace abstraction.- Mining Local Process Models and their Correlations.- A linear temporal logic model checking method over finite words with correlated transition attributes.- A Report-driven Approach to design Multidimensional Models.