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Data-Driven Process Discovery and Analysis - 8th IFIP WG 2.6 International Symposium, SIMPDA 2018, Seville, Spain, December 13-14, 2018, and 9th International Symposium, SIMPDA 2019, Bled, Slovenia, September 8, 2019, Revised Selected Papers (Paperback, 1st ed. 2020) Loot Price: R1,469
Discovery Miles 14 690
Repayment Terms: R138 pm x 12*
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Data-Driven Process Discovery and Analysis - 8th IFIP WG 2.6 International Symposium, SIMPDA 2018, Seville, Spain, December...

Data-Driven Process Discovery and Analysis - 8th IFIP WG 2.6 International Symposium, SIMPDA 2018, Seville, Spain, December 13-14, 2018, and 9th International Symposium, SIMPDA 2019, Bled, Slovenia, September 8, 2019, Revised Selected Papers (Paperback, 1st ed. 2020)

Paolo Ceravolo, Maurice van Keulen, Maria Teresa Gomez-Lopez

Series: Lecture Notes in Business Information Processing, 379

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Loot Price R1,469 Discovery Miles 14 690 | Repayment Terms: R138 pm x 12*

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This book constitutes revised selected papers from the 8th and 9th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2018, held in Seville, Spain, on December 13-14, 2018, and SIMPDA 2019, held in Bled, Slovenia, on September 8, 2019. From 16 submissions received for SIMPDA 2018 and 9 submissions received for SIMPDA 2019, 3 papers each were carefully reviewed and selected for presentation in this volume. They cover theoretical issues related to process representation, discovery, and analysis or provide practical and operational examples of their application.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Business Information Processing, 379
Release date: April 2020
First published: 2020
Editors: Paolo Ceravolo • Maurice van Keulen • Maria Teresa Gomez-Lopez
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 125
Edition: 1st ed. 2020
ISBN-13: 978-3-03-046632-9
Categories: Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Computing & IT > Applications of computing > Databases > Data mining
LSN: 3-03-046632-9
Barcode: 9783030466329

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