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Data-Driven Process Discovery and Analysis

4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers

Language EnglishEnglish
Book Paperback
Book Data-Driven Process Discovery and Analysis Paolo Ceravolo
Libristo code: 02833021
Publishers Springer International Publishing AG, December 2015
This book constitutes the thoroughly§refereed proceedings of the Fourth International§Symposium on D... Full description
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51.78 €
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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.§

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About the book

Full name Data-Driven Process Discovery and Analysis
Author Paolo Ceravolo, Barbara Russo, Rafael Accorsi
Language English
Binding Book - Paperback
Date of issue 2015
Number of pages 123
EAN 9783319272429
ISBN 331927242X
Libristo code 02833021
Publishers Springer International Publishing AG
Weight 2175
Dimensions 155 x 235 x 7

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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