Data-Driven Process Discovery and Analysis 7th IFIP WG 2.6 Internati
This book constitutes the revised selected papers from the 7th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2017, held in Neuchatel, Switzerland, in December 2017. The 6 papers presented in this volume we
- PDF / 8,486,552 Bytes
- 138 Pages / 439.371 x 666.143 pts Page_size
- 13 Downloads / 186 Views
Paolo Ceravolo · Maurice van Keulen Kilian Stoffel (Eds.)
Data-Driven Process Discovery and Analysis 7th IFIP WG 2.6 International Symposium, SIMPDA 2017 Neuchatel, Switzerland, December 6–8, 2017 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
340
More information about this series at http://www.springer.com/series/7911
Paolo Ceravolo Maurice van Keulen Kilian Stoffel (Eds.) •
Data-Driven Process Discovery and Analysis 7th IFIP WG 2.6 International Symposium, SIMPDA 2017 Neuchatel, Switzerland, December 6–8, 2017 Revised Selected Papers
123
Editors Paolo Ceravolo Università degli Studi di Milano Crema, Italy Maurice van Keulen University of Twente Enschede, The Netherlands
Kilian Stoffel IMI University of Neuchâtel Neuchâtel, Switzerland
ISSN 1865-1348 ISSN 1865-1356 (electronic) Lecture Notes in Business Information Processing ISBN 978-3-030-11637-8 ISBN 978-3-030-11638-5 (eBook) https://doi.org/10.1007/978-3-030-11638-5 Library of Congress Control Number: 2018967449 © IFIP International Federation for Information Processing 2019 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, express 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 of organizational and business processes data, managed via information systems, has made available a big variety of information that consequently created a high demand for making data analytics more effective and valuable. The seventh
Data Loading...
