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.
Ceravolo, Paolo. editor.; Guetl, Christian. editor.; Rinderle-Ma, Stefanie. editor.
2018
QA76.9.D343
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Title 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.
ISBN 9783319741611
3319741616
9783319741604
DOI https://doi.org/10.1007/978-3-319-74161-1
Published Cham : Springer International Publishing : Imprint: Springer, 2018.
Language English
Description 1 online resource (ix, 97 pages) : illustrations.
Item Number 10.1007/978-3-319-74161-1 doi
Call Number QA76.9.D343
Dewey Decimal Classification 006.3/12
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.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Added Author Ceravolo, Paolo. editor.
Guetl, Christian. editor.
Rinderle-Ma, Stefanie. editor.
Series Lecture notes in business information processing ; 307.
Available in Other Form Print version: 9783319741604
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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.#xE000;

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