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Data-Driven Process Discovery and Analysis : 7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised Selected Papers / / edited by Paolo Ceravolo, Maurice van Keulen, Kilian Stoffel



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Titolo: Data-Driven Process Discovery and Analysis : 7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised Selected Papers / / edited by Paolo Ceravolo, Maurice van Keulen, Kilian Stoffel Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (IX, 129 p. 70 illus., 20 illus. in color.)
Disciplina: 006.312
Soggetto topico: Data mining
Information technology - Management
Application software
Data Mining and Knowledge Discovery
Business Process Management
Computer and Information Systems Applications
Computer Application in Administrative Data Processing
Persona (resp. second.): CeravoloPaolo
van KeulenMaurice
StoffelKilian
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Online Detection of Operator Errors In Cloud Computing Using Anti-Patterns -- Executing Lifecycle Processes in Object-aware Process Management -- Towards semantic process mining through knowledge-based trace abstraction -- Mining Local Process Models and their Correlations -- A linear temporal logic model checking method over finite words with correlated transition attributes -- A Report-driven Approach to design Multidimensional Models. .
Sommario/riassunto: This book constitutes the revised selected papers from the 7th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2017, held in Neuchatel, Switzerland, in December 2017. The 6 papers presented in this volume were carefully reviewed and selected from 19 submissions. They cover theoretical issues related to process representation, discovery, and analysis or provide practical and operational examples of their application.
Titolo autorizzato: Data-Driven Process Discovery and Analysis  Visualizza cluster
ISBN: 3-030-11638-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910337579403321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Business Information Processing, . 1865-1356 ; ; 340