Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11235)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Conference series link(s): QUAT: International Workshop on Data Quality and Trust in Big Data
Conference proceedings info: QUAT 2018.
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Table of contents (9 papers)
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Front Matter
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Back Matter
About this book
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
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Zayed University, Dubai, United Arab Emirates
Hakim Hacid
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Macquarie University, Sydney, Australia
Quan Z. Sheng
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Nara Women’s University, Nara, Japan
Tetsuya Yoshida
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Dalarna University, Borlänge, Sweden
Azadeh Sarkheyli
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Department of Computer Science and Software Engineering, Swinburne University of Technology, Hawthorn, Australia
Rui Zhou
Bibliographic Information
Book Title: Data Quality and Trust in Big Data
Book Subtitle: 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Dubai, UAE, November 12–15, 2018, Revised Selected Papers
Editors: Hakim Hacid, Quan Z. Sheng, Tetsuya Yoshida, Azadeh Sarkheyli, Rui Zhou
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-19143-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-19142-9Published: 25 April 2019
eBook ISBN: 978-3-030-19143-6Published: 24 April 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 137
Number of Illustrations: 26 b/w illustrations, 19 illustrations in colour
Topics: Information Systems Applications (incl. Internet), Information Storage and Retrieval, Artificial Intelligence, System Performance and Evaluation