Gao Y., Liu Q. Preference Query Analysis and Optimization

Singapore: Springer, 2017. — 118 p.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.Introduction to Preference Query Analysis and Optimization
Causality and Responsibility Problem on Probabilistic Reverse Skyline Queries
Why-Not and Why Questions on Reverse Top-k Queries
Why-Few and Why-Many Questions on Reverse Skyline Queries
Reverse Top-k Query Result Analysis and Refinement System
Conclusion and Future Work