Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the ma

  • PDF / 10,326,292 Bytes
  • 146 Pages / 439.37 x 666.142 pts Page_size
  • 103 Downloads / 186 Views

DOWNLOAD

REPORT


Transactions on Large-Scale Data- and KnowledgeCentered Systems XLIII Abdelkader Hameurlain • A Min Tjoa Editors-in-Chief

Lecture Notes in Computer Science Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA

Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA

12130

More information about this series at http://www.springer.com/series/8637

Abdelkader Hameurlain A Min Tjoa (Eds.) •

Transactions on Large-Scale Data- and KnowledgeCentered Systems XLIII

123

Editors-in-Chief Abdelkader Hameurlain IRIT, Paul Sabatier University Toulouse, France

A Min Tjoa Vienna University of Technology Vienna, Austria

ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISSN 1869-1994 ISSN 2510-4942 (electronic) Transactions on Large-Scale Data- and Knowledge-Centered Systems ISBN 978-3-662-62198-1 ISBN 978-3-662-62199-8 (eBook) https://doi.org/10.1007/978-3-662-62199-8 © Springer-Verlag GmbH Germany, part of Springer Nature 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-Verlag GmbH, DE part of Springer Nature The registered company address is: Heidelberger Platz 3, 14197 Berlin, Germany

Preface

This volume contains five fully revised selected regular papers, covering a wide range of very hot topics in the fields of machine learning algorithms for classification tasks, top-k queries over distributed uncertain categorical data, cost-based optimization solutions for business processes, a knowledge capitalization framework in the big data context, and building a multilingu