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

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ceravolo, Paolo. (Editor), Rinderle-Ma, Stefanie. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Lecture Notes in Business Information Processing, 244
Subjects:
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. .