Advanced Information Systems Engineering [electronic resource] : 29th International Conference, CAiSE 2017, Essen, Germany, June 12-16, 2017, Proceedings / edited by Eric Dubois, Klaus Pohl.

Contributor(s): Dubois, Eric [editor.] | Pohl, Klaus [editor.] | SpringerLink (Online service)Material type: TextTextLanguage: English Series: Lecture Notes in Computer Science: 10253Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Description: XXI, 650 p. 215 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319595368Subject(s): Computer science | Software engineering | Database management | Artificial intelligence | Application software | Computer Science | Information Systems Applications (incl. Internet) | Software Engineering | Database Management | Artificial Intelligence (incl. Robotics) | Computer Appl. in Administrative Data ProcessingAdditional physical formats: Printed edition:: No titleDDC classification: 005.7 LOC classification: QA76.76.A65Online resources: Click here to access online
Contents:
Information systems architecture -- Business process alignment -- User knowledge discovery -- Business process performance -- Big data exploration -- Process variability management -- Information systems transformation and evolution -- Business process modeling readability -- Business process adaption -- Data mining -- Process discovery -- Business process modeling notation.
In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 29th International Conference on Advanced Information Systems Engineering, CAiSE 2017, held in Essen, Germany, in June 2017. The 37 papers presented together with 3 keynote papers in this volume were carefully reviewed and selected from 175 submissions. The papers are organized in topical sections on information systems architecture; business process alignment; user knowledge discovery; business process performance; big data exploration; process variability management; information systems transformation and evolution; business process modeling readability; business process adaption; data mining; process discovery; business process modeling notation.
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Information systems architecture -- Business process alignment -- User knowledge discovery -- Business process performance -- Big data exploration -- Process variability management -- Information systems transformation and evolution -- Business process modeling readability -- Business process adaption -- Data mining -- Process discovery -- Business process modeling notation.

This book constitutes the refereed proceedings of the 29th International Conference on Advanced Information Systems Engineering, CAiSE 2017, held in Essen, Germany, in June 2017. The 37 papers presented together with 3 keynote papers in this volume were carefully reviewed and selected from 175 submissions. The papers are organized in topical sections on information systems architecture; business process alignment; user knowledge discovery; business process performance; big data exploration; process variability management; information systems transformation and evolution; business process modeling readability; business process adaption; data mining; process discovery; business process modeling notation.

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