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.
| ISBN: | 9789811066344 |
| Publication date: | 9th November 2017 |
| Author: | Yunjun Gao, Qing Liu |
| Publisher: | Springer an imprint of Springer Nature Singapore |
| Format: | Paperback |
| Pagination: | 110 pages |
| Series: | SpringerBriefs in Computer Science |
| Genres: |
Databases |
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.
Preference Query Analysis and Optimization features in the following genres: Databases
Paperback. Not Available.
Preference Query Analysis and Optimization was written by Yunjun Gao, Qing Liu and published by Springer an imprint of Springer Nature Singapore
Preference Query Analysis and Optimization has 110 pages
Yes it is part of SpringerBriefs in Computer Science series