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Data-Driven Process Discovery and Analysis

Third IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2013, Riva del Garda, Italy, August 30, 2013, Revised Selected Papers

Language EnglishEnglish
Book Paperback
Book Data-Driven Process Discovery and Analysis Paolo Ceravolo
Libristo code: 09193383
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, March 2015
This book constitutes the thoroughly refereed proceedings of the Third International Symposium on Da... Full description
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54.25 €
106.10  лв
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This book constitutes the thoroughly refereed proceedings of the Third International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Garda, Italy, in August 2013. The six revised full papers were carefully selected from 18 submissions. To improve the quality of the contributions the symposium fostered the discussion during the presentation, in order to provide authors with the opportunity to improve their work by extending the presented results. The selected papers cover theoretical issues related to process representation, discovery and analysis or provide practical and operational experiences in process discovery and analysis.

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About the book

Full name Data-Driven Process Discovery and Analysis
Author Paolo Ceravolo, Rafael Accorsi, Philippe Cudre-Mauroux
Language English
Binding Book - Paperback
Date of issue 2015
Number of pages 135
EAN 9783662464359
ISBN 3662464357
Libristo code 09193383
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Weight 454
Dimensions 155 x 235 x 8

Categories

Computing & Information Technology > Digital lifestyle > Internet guides & online services > Internet searching
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Society & Social Sciences > Politics & government > Public administration
Economics, Finance, Business & Management > Business & Management > Business mathematics & systems
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Databases > Information retrieval
Computing & Information Technology > Information technology: general issues
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