Data Quality and Trust in Big Data 5th International Workshop, QUAT

This book constitutes revised selected papers from the International Workshop on Data Quality and Trust in Big Data, QUAT 2018, which was held in conjunction with the International Conference on Web Information Systems Engineering, WISE 2018, in Dubai, UA

  • PDF / 10,310,934 Bytes
  • 147 Pages / 439.371 x 666.143 pts Page_size
  • 86 Downloads / 176 Views

DOWNLOAD

REPORT


Hakim Hacid Quan Z. Sheng Tetsuya Yoshida Azadeh Sarkheyli Rui Zhou (Eds.)

Data Quality and Trust in Big Data 5th International Workshop, QUAT 2018 Held in Conjunction with WISE 2018 Dubai, UAE, November 12–15, 2018 Revised Selected Papers

123

Lecture Notes in Computer Science Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen

Editorial Board Members David Hutchison Lancaster University, Lancaster, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Zurich, Switzerland John C. Mitchell Stanford University, Stanford, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel C. Pandu Rangan Indian Institute of Technology Madras, Chennai, India Bernhard Steffen TU Dortmund University, Dortmund, Germany Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA

11235

More information about this series at http://www.springer.com/series/7409

Hakim Hacid Quan Z. Sheng Tetsuya Yoshida Azadeh Sarkheyli Rui Zhou (Eds.) •







Data Quality and Trust in Big Data 5th International Workshop, QUAT 2018 Held in Conjunction with WISE 2018 Dubai, UAE, November 12–15, 2018 Revised Selected Papers

123

Editors Hakim Hacid Zayed University Dubai, United Arab Emirates

Quan Z. Sheng Macquarie University Sydney, NSW, Australia

Tetsuya Yoshida Nara Women’s University Nara, Japan

Azadeh Sarkheyli Dalarna University Borlänge, Sweden

Rui Zhou Department of Computer Science and Software Engineering Swinburne University of Technology Hawthorn, VIC, Australia

ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-19142-9 ISBN 978-3-030-19143-6 (eBook) https://doi.org/10.1007/978-3-030-19143-6 LNCS Sublibrary: SL3 – Information Systems and Applications, incl. Internet/Web, and HCI © Springer Nature Switzerland AG 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, expressed or implied, with re