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

Detalles Bibliográficos
Autor Corporativo:	SpringerLink (Online service)
Otros Autores:	Ceravolo, Paolo. (Editor ), Rinderle-Ma, Stefanie. (Editor )
Formato:	eBook
Lenguaje:	English
Publicado:	Cham : Springer International Publishing : Imprint: Springer, 2017.
Edición:	1st ed. 2017.
Colección:	Lecture Notes in Business Information Processing, 244
Materias:	Data mining. Management information systems. Industrial management. Application software. Data Mining and Knowledge Discovery. Business Process Management. Information Systems Applications (incl. Internet). Computer Appl. in Administrative Data Processing.

Tabla de Contenidos:

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. .

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