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Data-Driven Process Discovery and Analysis - 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers (Paperback, 1st ed. 2015) Loot Price: R1,807
Discovery Miles 18 070
Data-Driven Process Discovery and Analysis - 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014,...

Data-Driven Process Discovery and Analysis - 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers (Paperback, 1st ed. 2015)

Paolo Ceravolo, Barbara Russo, Rafael Accorsi

Series: Lecture Notes in Business Information Processing, 237

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Loot Price R1,807 Discovery Miles 18 070 | Repayment Terms: R169 pm x 12*

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This book constitutes the thoroughly refereed proceedings of the Fourth International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Milan, Italy, in November 2014. The five revised full papers were carefully selected from 21 submissions. Following the event, authors were given the opportunity to improve their papers with the insights they gained from the symposium. During this edition, the presentations and discussions frequently focused on the implementation of process mining algorithms in contexts where the analytical process is fed by data streams. The selected papers underline the most relevant challenges identified and propose novel solutions and approaches for their solution.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Business Information Processing, 237
Release date: December 2015
First published: 2015
Editors: Paolo Ceravolo • Barbara Russo • Rafael Accorsi
Dimensions: 235 x 155 x 7mm (L x W x T)
Format: Paperback
Pages: 123
Edition: 1st ed. 2015
ISBN-13: 978-3-319-27242-9
Categories: Books > Social sciences > Politics & government > Public administration
Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Computing & IT > Applications of computing > Databases > Data mining
LSN: 3-319-27242-X
Barcode: 9783319272429

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