Preference Query Analysis and Optimization

  • Yunjun Gao
  • Qing Liu

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Yunjun Gao, Qing Liu
    Pages 31-74
  3. Yunjun Gao, Qing Liu
    Pages 109-110

About this book

Introduction

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. 

Keywords

Database Usability Query Analysis Query Optimization Causality and Responsibility Why-not Question Why Question Why-few Question Why-many Question Preference Query Probabilistic Reverse Skyline Query Reverse Top-k Query Reverse Skyline Query

Authors and affiliations

  • Yunjun Gao
    • 1
  • Qing Liu
    • 2
  1. 1.Zhejiang UniversityHangzhouChina
  2. 2.Zhejiang UniversityHangzhouChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-6635-1
  • Copyright Information The Author(s) 2017
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-10-6634-4
  • Online ISBN 978-981-10-6635-1
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • About this book
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