Preference Query Analysis and Optimization
Language: English
Published by Springer, 2017
Series: Book 246 of 322 - SpringerBriefs in Computer Science
- Softcover
- New

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- Title
- Preference Query Analysis and Optimization
- Author
- Gao, Yunjun; Liu, Qing
- Publisher
- Springer
- Publication year
- 2017
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 9811066345
- ISBN 13
- 9789811066344
- Series
- Book 246 of 322: SpringerBriefs in Computer Science
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.
"Synopsis" may belong to another edition of this title.
About the Author
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).
"About the title" may belong to another edition of this title.
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