Automated Machine Learning: Techniques and Frameworks
Nowadays, machine learning techniques and algorithms are employed in almost every application domain (e.g., financial applications, advertising, recommendation systems, user behavior analytics). In practice, they are playing a crucial role in harnessing t
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Tutorial
Ralf-Detlef Kutsche Esteban Zimányi (Eds.)
Big Data Management and Analytics 9th European Summer School, eBISS 2019 Berlin, Germany, June 30 – July 5, 2019 Revised Selected Papers
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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
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More information about this series at http://www.springer.com/series/7911
Ralf-Detlef Kutsche Esteban Zimányi (Eds.) •
Big Data Management and Analytics 9th European Summer School, eBISS 2019 Berlin, Germany, June 30 – July 5, 2019 Revised Selected Papers
123
Editors Ralf-Detlef Kutsche Technische Universtät Berlin Berlin, Germany
Esteban Zimányi Université libre de Bruxelles Brussels, Belgium
ISSN 1865-1348 ISSN 1865-1356 (electronic) Lecture Notes in Business Information Processing ISBN 978-3-030-61626-7 ISBN 978-3-030-61627-4 (eBook) https://doi.org/10.1007/978-3-030-61627-4 © Springer Nature Switzerland AG 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 9th European Big Data Management and Analytics Summer School (eBISS 20191) took place in Berlin, Germany, in July 2019. Tutorials were given by renowned experts and covered advanced aspects of analytics and big data. This volume contains the lecture notes of the summer school. The first chapter is devoted to actionable conformance checking. In the context of business processes, conformance checking aims at comparing a process model with an event log
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