Authors:
- Tackles one of the key challenges of database usability – unexpected query result analysis
- Reviews exhaustively the key recent research into preference query analysis and optimization
- Offers step-by-step procedures for preference query analysis and optimization
- Includes case studies illustrating the significance of the unexpected query result analysis and optimization
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (6 chapters)
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Front Matter
About this book
This book analyzes unexpected preference query results for three problems: causality and responsibility problems, why-not and why questions, and why-few and why-many questions. Further, it refines preference queries and discusses how to modify the original preference query based on different objectives, in order to obtain satisfying results. This highly informative and carefully presented book provides valuable insights for researchers, postgraduates and practitioners with an interest in database usability.
Authors and Affiliations
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Zhejiang University, Hangzhou, China
Yunjun Gao, Qing Liu
About the authors
Yunjun Gao is a professor at the College of Computer Science, Zhejiang University, China. His research interests include database and big data management. He has published more than 90 papers in several leading international journals and conferences including TODS, VLDBJ, TKDE, SIGMOD, VLDB, ICDE, and SIGIR. He is a member of the ACM and the IEEE, and a senior member of the CCF. He was an awardee of the NSFC Excellent Young Scholars Program in 2015, the SIGMOD 2015 Best Paper Nomination, one of the ICDE 2015 Best Papers, the First Prize of the MOE Science and Technology Progress (2016), and the First Prize of the Zhejiang Province Science and Technology (2011).
Qing Liu received his M.S. degree in computer science from Zhejiang University, China, in 2013, and his B.S. degree in software engineering from Zhejiang Normal University, China, in 2010. He completed his Ph.D. degree at the College of Computer Science, Zhejiang University in June 2017 and is currently pursuing postdoctoral research at Hong Kong Baptist University. His research interests include spatial databases and database usability. He has published more than 10 papers in several leading international journals and conferences including VLDBJ, TKDE, VLDB, and ICDE.
Bibliographic Information
Book Title: Preference Query Analysis and Optimization
Authors: Yunjun Gao, Qing Liu
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-981-10-6635-1
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2017
Softcover ISBN: 978-981-10-6634-4Published: 09 November 2017
eBook ISBN: 978-981-10-6635-1Published: 02 November 2017
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: XI, 110
Number of Illustrations: 35 b/w illustrations, 23 illustrations in colour
Topics: Database Management