
Business Process Management
14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18-22, 2016. Proceedings
Springer (Publisher)
Published on 8. September 2016
Book
Paperback/Softback
XXI, 438 pages
978-3-319-45347-7 (ISBN)
Description
This book constitutes the proceedings of the 14th International Conference on Business Process Management, BPM 2016, held in Rio de Janeiro, Brazil, in September 2016.
The focus of the conference covers a range of papers focusing on automated discovery, conformance checking, modeling foundations, understandability of process representations, runtime management and predictive monitoring. The topics selected by the authors demonstrate an increasing interest of the research community in the area of process mining, resonated by an equally fast-growing uptake by different industry sectors.
The focus of the conference covers a range of papers focusing on automated discovery, conformance checking, modeling foundations, understandability of process representations, runtime management and predictive monitoring. The topics selected by the authors demonstrate an increasing interest of the research community in the area of process mining, resonated by an equally fast-growing uptake by different industry sectors.
More details
Series
Edition
1st ed. 2016
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
157 s/w Abbildungen
XXI, 438 p. 157 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 25 mm
Weight
692 gr
ISBN-13
978-3-319-45347-7 (9783319453477)
DOI
10.1007/978-3-319-45348-4
Schweitzer Classification
Other editions
Additional editions

Marcello La Rosa | Peter Loos | Oscar Pastor
Business Process Management
14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18-22, 2016. Proceedings
E-Book
09/2016
Springer
€53.49
Available for download
Persons
Content
Automated Discovery.- Conformance Checking.- Modeling Foundations.- Understandibility of Process Representations.- Runtime Management.- Prediction.