Preference Query Analysis and Optimization (SpringerBriefs in Computer Science) - Softcover

Buch 246 von 322: SpringerBriefs in Computer Science

Gao, Yunjun; Liu, Qing

 
9789811066344: Preference Query Analysis and Optimization (SpringerBriefs in Computer Science)
Softcover
ISBN 10: 9811066345 ISBN 13: 9789811066344
Verlag: Springer, 2017

Inhaltsangabe

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. 

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Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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.

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Verlag
Springer
Erscheinungsdatum
2017
Sprache
Englisch
ISBN 10 
9811066345
ISBN 13 
9789811066344
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
124
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