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Data-Driven Process Discovery and Analysis [[electronic resource] ] : 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers / / edited by Paolo Ceravolo, Barbara Russo, Rafael Accorsi



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Titolo: Data-Driven Process Discovery and Analysis [[electronic resource] ] : 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers / / edited by Paolo Ceravolo, Barbara Russo, Rafael Accorsi Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Edizione: 1st ed. 2015.
Descrizione fisica: 1 online resource (IX, 123 p. 56 illus. in color.)
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
RussoBarbara
AccorsiRafael
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di contenuto: Discovery of Frequent Episodes in Event Logs -- Finding Suitable Activity Clusters for Decomposed Process Discovery -- History-based Construction of Alignments for Conformance Checking: Formalization and Implementation? -- Dynamic Constructs Competition Miner - Occurrence vs. Time-based Ageing -- Trustworthy Cloud Certification: A Model-Based Approach.
Sommario/riassunto: 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.
Titolo autorizzato: Data-Driven Process Discovery and Analysis  Visualizza cluster
ISBN: 3-319-27243-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299259703321
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Serie: Lecture Notes in Business Information Processing, . 1865-1348 ; ; 237