Preference query analysis and optimization
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 objecti...
| Main Author: | Gao, Yunjun, |
|---|---|
| Other Authors: | Liu, Qing,, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Singapore :
Springer,
2017.
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| Physical Description: |
1 online resource (xi, 110 pages) : illustrations (some color). |
| Series: |
SpringerBriefs in computer science.
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| Subjects: |
| Summary: |
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. |
|---|---|
| Item Description: |
Includes bibliographical references. 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. |
| Physical Description: |
1 online resource (xi, 110 pages) : illustrations (some color). |
| Bibliography: |
Includes bibliographical references. |
| ISBN: |
9789811066351 9811066353 |
| ISSN: |
2191-5768. |