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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2019
ISBN 10: 3030324117 ISBN 13: 9783030324117
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Aggiungi al carrelloPaperback. Condizione: Brand New. 176 pages. 9.25x6.10x0.43 inches. In Stock.
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Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030324117 ISBN 13: 9783030324117
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book proposes a novel technique, named artifact-driven process monitoring, by which multi-party processes, involving non-automated activities, can be continuously and autonomously monitored. This technique exploits the Internet of Things (IoT) paradigm to make the physical objects, participating in a process, smart. Being equipped with sensors, a computing device, and a communication interface, such smart objects can then become self-aware of their own conditions and of the process they participate in, and exchange this information with the other smart objects and the involved organizations. To allow organizations to reuse preexisting process models, a method to instruct smart objects given Business Process Model and Notation (BPMN) collaboration diagrams is also presented. The work constitutes a revised version of the PhD dissertation written by the author at the PhD School of Information Engineering of Politecnico di Milano, Italy. In 2019, the PhD dissertation won the 'CAiSE PhD award', granted to outstanding PhD theses in the field of Information Systems Engineering.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Okt 2019, 2019
ISBN 10: 3030324117 ISBN 13: 9783030324117
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book proposes a novel technique, named artifact-driven process monitoring, by which multi-party processes, involving non-automated activities, can be continuously and autonomously monitored. This technique exploits the Internet of Things (IoT) paradigm to make the physical objects, participating in a process, smart. Being equipped with sensors, a computing device, and a communication interface, such smart objects can then become self-aware of their own conditions and of the process they participate in, and exchange this information with the other smart objects and the involved organizations. To allow organizations to reuse preexisting process models, a method to instruct smart objects given Business Process Model and Notation (BPMN) collaboration diagrams is also presented.The work constitutes a revised version of the PhD dissertation written by the author at the PhD School of Information Engineering of Politecnico di Milano, Italy. In 2019, the PhD dissertation won the ¿CAiSE PhD award¿, granted to outstanding PhD theses in the field of Information Systems Engineering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 176 pp. Englisch.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Artifact-Driven Business Process Monitoring | A Novel Approach to Transparently Monitor Business Processes, Supported by Methods, Tools, and Real-World Applications | Giovanni Meroni | Taschenbuch | xiii | Englisch | 2019 | Springer | EAN 9783030324117 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Okt 2019, 2019
ISBN 10: 3030324117 ISBN 13: 9783030324117
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book proposes a novel technique, named artifact-driven process monitoring, by which multi-party processes, involving non-automated activities, can be continuously and autonomously monitored. This technique exploits the Internet of Things (IoT) paradigm to make the physical objects, participating in a process, smart. Being equipped with sensors, a computing device, and a communication interface, such smart objects can then become self-aware of their own conditions and of the process they participate in, and exchange this information with the other smart objects and the involved organizations. To allow organizations to reuse preexisting process models, a method to instruct smart objects given Business Process Model and Notation (BPMN) collaboration diagrams is also presented. The work constitutes a revised version of the PhD dissertation written by the author at the PhD School of Information Engineering of Politecnico di Milano, Italy. In 2019, the PhD dissertation won the 'CAiSE PhD award', granted to outstanding PhD theses in the field of Information Systems Engineering. 176 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, 2019
ISBN 10: 3030324117 ISBN 13: 9783030324117
Da: moluna, Greven, Germania
EUR 48,37
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Revised PhD dissertationReceived the CAiSE PhD award for an outstanding thesis in the field of Information Systems EngineeringProposes a novel technique which allows to monitor multi-party process.