Data-Driven Process Discovery and Analysis 8th IFIP WG 2.6 Internati
This book constitutes revised selected papers from the 8th and 9th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2018, held in Seville, Spain, on December 13–14, 2018, and SIMPDA 2019, held in Bled, Sl
- PDF / 16,767,128 Bytes
- 134 Pages / 439.37 x 666.142 pts Page_size
- 54 Downloads / 172 Views
Paolo Ceravolo · Maurice van Keulen · María Teresa Gómez-López (Eds.)
Data-Driven Process Discovery and Analysis 8th IFIP WG 2.6 International Symposium, SIMPDA 2018 Seville, Spain, December 13–14, 2018 and 9th International Symposium, SIMPDA 2019 Bled, Slovenia, September 8, 2019, Revised Selected Papers
123
Lecture Notes in Business Information Processing Series Editors Wil van der Aalst RWTH Aachen University, Aachen, Germany John Mylopoulos University of Trento, Trento, Italy Michael Rosemann Queensland University of Technology, Brisbane, QLD, Australia Michael J. Shaw University of Illinois, Urbana-Champaign, IL, USA Clemens Szyperski Microsoft Research, Redmond, WA, USA
379
More information about this series at http://www.springer.com/series/7911
Paolo Ceravolo Maurice van Keulen María Teresa Gómez-López (Eds.) •
•
Data-Driven Process Discovery and Analysis 8th IFIP WG 2.6 International Symposium, SIMPDA 2018 Seville, Spain, December 13–14, 2018 and 9th International Symposium, SIMPDA 2019 Bled, Slovenia, September 8, 2019 Revised Selected Papers
123
Editors Paolo Ceravolo Università degli Studi di Milano Milan, Italy
Maurice van Keulen University of Twente Enschede, The Netherlands
María Teresa Gómez-López University of Seville Seville, Spain
ISSN 1865-1348 ISSN 1865-1356 (electronic) Lecture Notes in Business Information Processing ISBN 978-3-030-46632-9 ISBN 978-3-030-46633-6 (eBook) https://doi.org/10.1007/978-3-030-46633-6 © IFIP International Federation for Information Processing 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The rapid growth at which organizations and businesses process data, managed via information systems, has made available a big
Data Loading...
