Data-Driven Process Discovery and Analysis 5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised Selected Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ceravolo, Paolo (Editor), Rinderle-Ma, Stefanie (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Lecture Notes in Business Information Processing, 244
• Subjects: Computer science.; Management information systems.; Industrial management.; Data mining.; Application software.; Computer Science.; Data Mining and Knowledge Discovery.; Business Process Management.; Information Systems Applications (incl. Internet).; Computer Appl. in Administrative Data Processing.

This book constitutes the revised selected papers from the 5th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2015, held in Vienna, Austria in December 2015. The 8 papers presented in this volume were carefully reviewed and selected from 22 submissions. The...

Table of Contents:

• A Framework for Safety-critical Process Management in Engineering Projects
• Business Process Reporting Using Process Mining, Analytic Workflows and Process Cubes: A Case Study in Education
• Detecting Changes in Process Behavior Using Comparative Case Clustering
• - Using Domain Knowledge to Enhance Process Mining Results
• - Aligning Process Model Terminology with Hypernym Relations
• Time Series Petri Net Models: Enrichment and Prediction
• Visual Analytics Meets Process Mining: Challenges and Opportunities
• A Relational Data Warehouse for Multidimensional Process Mining. .