Data-Driven Process Discovery and Analysis

7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised ... Notes in Business Information Processing)

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Last edited by ImportBot
October 7, 2021 | History

Data-Driven Process Discovery and Analysis

7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised ... Notes in Business Information Processing)

  • 1 Want to read

This book constitutes the thoroughly refereed proceedings of the Second International Symposium on Data-Driven Process Discovery and Analysis held in Campione d'Italia, Italy, in June 2012. The six revised full papers were carefully selected from 17 submissions. To improve the quality of the contributions the symposium fostered the discussion during the presentation, giving authors the opportunity to improve their work extending the presented results. The selected papers cover topics spanning from theoretical issues related to process representation, discovery and analysis to practical and operational experiences in process discovery and analysis.

Publish Date
Publisher
Springer
Pages
140

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Cover of: Data-Driven Process Discovery and Analysis
Cover of: Data-Driven Process Discovery and Analysis
Cover of: Data-Driven Process Discovery and Analysis
Cover of: Data-Driven Process Discovery and Analysis
Cover of: Data-Driven Process Discovery and Analysis
Cover of: Data-Driven Process Discovery and Analysis
Cover of: Data-Driven Process Discovery and Analysis
Cover of: Data-Driven Process Discovery and Analysis
Cover of: Data-Driven Process Discovery and Analysis
Cover of: Data-Driven Process Discovery and Analysis

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Book Details


Edition Notes

Source title: Data-Driven Process Discovery and Analysis: 7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised ... Notes in Business Information Processing)

Classifications

Library of Congress
QA75.5-76.95

The Physical Object

Format
paperback
Number of pages
140

ID Numbers

Open Library
OL28232062M
ISBN 10
3030116379
ISBN 13
9783030116378

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
October 7, 2021 Edited by ImportBot import existing book
June 10, 2020 Created by ImportBot Imported from amazon.com record