Business Process Management [electronic resource] : 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18-22, 2016. Proceedings /

Contributor(s):

Material type: Text

TextSeries: Information Systems and Applications, incl. Internet/Web, and HCI ; 9850Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016Description: XXI, 438 p. 157 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319453484

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

004 23

LOC classification:

QA75.5-76.95

Online resources:

Click here to access online

Contents:

Automated Discovery -- Conformance Checking -- Modeling Foundations -- Understandibility of Process Representations -- Runtime Management -- Prediction.

In: Springer Nature eBookSummary: 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.

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Automated Discovery -- Conformance Checking -- Modeling Foundations -- Understandibility of Process Representations -- Runtime Management -- Prediction.

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.

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