Data-Driven Process Discovery and Analysis [[electronic resource] ] : 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Graz, Austria, December 15-16, 2016, Revised Selected Papers / / edited by Paolo Ceravolo, Christian Guetl, Stefanie Rinderle-Ma

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
• Edizione: 1st ed. 2018.
• Descrizione fisica: 1 online resource (IX, 97 p. 46 illus.)
• Disciplina: 006.3
• Soggetto topico: Data mining; Management information systems; Industrial management; Application software; Data Mining and Knowledge Discovery; Business Process Management; Information Systems Applications (incl. Internet); Computer Appl. in Administrative Data Processing
• Persona (resp. second.): CeravoloPaolo; GuetlChristian; Rinderle-MaStefanie
• Nota di contenuto: Model and Event Log Reductions to Boost the Computation of Alignments -- Translating BPMN to Business Rules -- Execution-based Model Profiling -- DB-XES: Enabling Process Discovery in the Large -- Extracting Service Process Models from Location Data. .
• Sommario/riassunto: This book constitutes the revised selected papers from the 6th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2016, held in Graz, Austria in December 2016. The 5 papers presented in this volume were carefully reviewed and selected from 18 submissions. In this edition, the presentations focused on the adoption of process mining algorithms for continuous monitoring of business process. They underline the most relevant challenges identified and propose novel solutions for their resolution.
• Titolo autorizzato: Data-Driven Process Discovery and Analysis
• ISBN: 3-319-74161-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910299294003321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Business Information Processing, . 1865-1348 ; ; 307