Advertisement

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

  • Hakim Hacid
  • Quan Z. Sheng
  • Tetsuya Yoshida
  • Azadeh Sarkheyli
  • Rui Zhou
Conference proceedings QUAT 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11235)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11235)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Lisa Ehrlinger, Wolfram Wöß
    Pages 1-15
  3. Kun Jiang, Chunming Hu, Jie Sun, Qi Shen, Xiaohan Jiang
    Pages 32-45
  4. Seyed Mohssen Ghafari, Shahpar Yakhchi, Amin Beheshti, Mehmet Orgun
    Pages 46-61
  5. Shahpar Yakhchi, Seyed Mohssen Ghafari, Amin Beheshti
    Pages 62-77
  6. Jing Wang, Guiyuan Liu, William Wei Song
    Pages 78-93
  7. João Marcelo Borovina Josko
    Pages 94-110
  8. Yalin Yang, Linjie Xu, Zichen Xu, Yuhao Wang
    Pages 111-124
  9. Azadeh Sarkheyli, William Wei Song
    Pages 125-136
  10. Back Matter
    Pages 137-137

About these proceedings

Introduction

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, UAE, in November 2018.

The 9 papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with novel ideas and solutions related to the problems of exploring, assessing, monitoring, improving, and maintaining the quality of data and trust for Big Data.

Keywords

artificial intelligence big data blind source separation blockchain cloud computing collaborative filtering factorization graph data information extraction information retrieval information systems recommender systems security and privacy signal filtering and prediction signal processing social networks text mining web applications

Editors and affiliations

  1. 1.Zayed UniversityDubaiUnited Arab Emirates
  2. 2.Macquarie UniversitySydneyAustralia
  3. 3.Nara Women’s UniversityNaraJapan
  4. 4.Dalarna UniversityBorlängeSweden
  5. 5.Department of Computer Science and Software EngineeringSwinburne University of TechnologyHawthornAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-19143-6
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-19142-9
  • Online ISBN 978-3-030-19143-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Law