Fuzzy preference queries to relational databases /
The manipulation of databases is an integral part of a world which is becoming increasingly and pervasively information-focused. This book puts forward a suggestion to advocate preference queries and fuzzy sets as a central concern in database queries and offers an important contribution to the desi...
| Основен автор: | Pivert, Olivier. |
|---|---|
| Други автори: | Bosc, Patrick. |
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
London :
Imperial College Press,
2012.
|
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=457190 |
| Подобни документи: |
Print version::
Fuzzy preference queries to relational databases. |
Съдържание:
- 1. Introduction. 1.1. Databases and their evolution. 1.2. Preferences and fuzzy sets. 1.3. Overview of the book
- 2. Reminders on relational databases. 2.1. Basic notions and vocabulary. 2.2. Algebraic operations. 2.3. An overview of SQL
- 3. Basic notions on fuzzy sets. 3.1. Introduction. 3.2. Definitions and notations. 3.3. Composition of fuzzy sets. 3.4. Inclusions and implications. 3.5. Fuzzy measures and integrals. 3.6. The extension principle. 3.7. Fuzzy quantified propositions
- 4. Non-fuzzy approaches to preference queries: a brief overview. 4.1. Introduction. 4.2. Quantitative approaches. 4.3. Qualitative approaches. 4.4. Conclusion
- 5. Simple fuzzy queries. 5.1. Introduction. 5.2. An extended relational algebra. 5.3. An overview of a basic version of SQLf. 5.4. Interface for user-defined terms and operators. 5.5. Contextual queries. 5.6. Evaluation of simple fuzzy queries. 5.7. Conclusion
- 6. Fuzzy queries involving quantified statements or aggregates. 6.1. Introduction. 6.2. Quantified statements. 6.3. Aggregates. 6.4. Conclusion
- 7. Division and antidivision of fuzzy relations. 7.1. Introduction. 7.2. Division of fuzzy relations. 7.3. Tolerant division. 7.4. Stratified division. 7.5. Queries mixing division and antidivision. 7.6. Evaluation of division queries. 7.7. Conclusion
- 8. Bipolar fuzzy queries. 8.1. Introduction. 8.2. Preliminaries. 8.3. Extended algebraic operators. 8.4. Implementation aspects. 8.5. Conclusion
- 9. Fuzzy group by. 9.1. Introduction. 9.2. An extended group by clause. 9.3. Having clause. 9.4. Application to association rule mining. 9.5. Evaluation of a fuzzy group by. 9.6. Related work. 9.7. Conclusion
- 10. Empty and plethoric answers. 10.1. Introduction. 10.2. Empty answer problem. 10.3. Plethoric answer problem. 10.4. Conclusion
- 11. Conclusion.