Data-Driven Process Discovery and Analysis

6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Graz, Austria, December 15-16, 2016, Revised Selected Papers
1. Auflage 2018
ISBN: 978-3-319-74160-4
Verlag: Springer

Buch, Englisch, Band 307, 97 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 186 g

Reihe: Lecture Notes in Business Information Processing

This book constitutes the revised selected papers from the 6th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2016, held in Graz, Austria in December 2016.

The 5 papers presented in this volume were carefully reviewed and selected from 18 submissions. In this edition, the presentations focused on the adoption of process mining algorithms for continuous monitoring of business process. They underline the most relevant challenges identified and propose novel solutions for their resolution.

Zielgruppe

Research

Autoren/Hrsg.

Ceravolo, Paolo

Guetl, Christian

Rinderle-Ma, Stefanie

Fachgebiete

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

Inhaltsverzeichnis

Model and Event Log Reductions to Boost the Computation of Alignments.- Translating BPMN to Business Rules.- Execution-based Model Profiling.- DB-XES: Enabling Process Discovery in the Large.- Extracting Service Process Models from Location Data.