Preference Query Analysis and Optimization
Buch in deiner Nähe kaufen
Beschreibung
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.
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
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 Includes supplementary material: sn.pub/extras
Autor*in
Yunjun Gao
Themen in »Preference Query Analysis and Optimization«
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