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SpringerBriefs in Computer Science

Preference Query Analysis and Optimization

Authors: Gao, Yunjun, Liu, Qing

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  • 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 
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eBook $54.99
price for USA in USD (gross)
  • ISBN 978-981-10-6635-1
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  • Included format: EPUB, PDF
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  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-981-10-6634-4
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  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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. 

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.

Table of contents (6 chapters)

Table of contents (6 chapters)
  • Introduction to Preference Query Analysis and Optimization

    Pages 1-7

    Gao, Yunjun (et al.)

  • Causality and Responsibility Problem on Probabilistic Reverse Skyline Queries

    Pages 9-29

    Gao, Yunjun (et al.)

  • Why-Not and Why Questions on Reverse Top-k Queries

    Pages 31-74

    Gao, Yunjun (et al.)

  • Why-Few and Why-Many Questions on Reverse Skyline Queries

    Pages 75-99

    Gao, Yunjun (et al.)

  • Reverse Top-k Query Result Analysis and Refinement System

    Pages 101-108

    Gao, Yunjun (et al.)

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-981-10-6635-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-981-10-6634-4
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Preference Query Analysis and Optimization
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2017
Publisher
Springer Singapore
Copyright Holder
The Author(s)
eBook ISBN
978-981-10-6635-1
DOI
10.1007/978-981-10-6635-1
Softcover ISBN
978-981-10-6634-4
Series ISSN
2191-5768
Edition Number
1
Number of Pages
XI, 110
Number of Illustrations
35 b/w illustrations, 23 illustrations in colour
Topics

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