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Data-Driven Process Discovery and Analysis : 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Graz, Austria, December 15-16, 2016, Revised Selected Papers / edited by Paolo Ceravolo, Christian Guetl, Stefanie Rinderle-Ma.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Ceravolo, Paolo, editor.
Guetl, Christian, editor.
Rinderle-Ma, Stefanie, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in business information processing 1865-1348 ; 307.
Lecture Notes in Business Information Processing, 1865-1348 ; 307
Language:
English
Subjects (All):
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.
Local Subjects:
Data Mining and Knowledge Discovery.
Business Process Management.
Information Systems Applications (incl. Internet).
Computer Appl. in Administrative Data Processing.
Physical Description:
1 online resource (IX, 97 pages) : 46 illustrations.
Edition:
First edition 2018.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2018.
System Details:
text file PDF
Summary:
This book constitutes the revised selected papers from the 6th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2016, held in Graz, Austria in December 2016. The 5 papers presented in this volume were carefully reviewed and selected from 18 submissions. In this edition, the presentations focused on the adoption of process mining algorithms for continuous monitoring of business process. They underline the most relevant challenges identified and propose novel solutions for their resolution.
Contents:
Model and Event Log Reductions to Boost the Computation of Alignments
Translating BPMN to Business Rules
Execution-based Model Profiling
DB-XES: Enabling Process Discovery in the Large
Extracting Service Process Models from Location Data. .
Other Format:
Printed edition:
ISBN:
978-3-319-74161-1
9783319741611
Access Restriction:
Restricted for use by site license.

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