Fuzzy preference queries to relational databases:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Imperial College Press
2012
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| Schlagworte: | |
| Beschreibung: | Print version record |
| Beschreibung: | 1 online resource illustrations |
| ISBN: | 9781848168701 1848168705 |
Internformat
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| 505 | 8 | |a 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 design of intelligent information systems. It provides a comprehensive study on fuzzy preference queries in the context of relational databases. Preference queries, a recent hot topic in database research, provide a basis for rank-ordering the items retrieved, which is especially valuable for large sets of answers. This book aims to show that fuzzy set theory constitutes a highly expressive framework for modeling preference queries. It presents a study of the algorithmic aspects related to the evaluation of such queries in order to demonstrate that this framework offers a good trade-off between expressivity and efficiency. Numerous examples and proofs are liberally and lucidly demonstrated throughout and greatly enhance the detailed theoretical aspects explored in the book. Researchers working in databases will greatly benefit from this comprehensive and up-to-date study of fuzzy preference queries and it will also become an invaluable reference point for postgraduate students interested in advanced database techniques | |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Pivert, Olivier |
| author_facet | Pivert, Olivier |
| author_role | aut |
| author_sort | Pivert, Olivier |
| author_variant | o p op |
| building | Verbundindex |
| bvnumber | BV045349635 |
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| collection | ZDB-4-ITC |
| contents | 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 design of intelligent information systems. It provides a comprehensive study on fuzzy preference queries in the context of relational databases. Preference queries, a recent hot topic in database research, provide a basis for rank-ordering the items retrieved, which is especially valuable for large sets of answers. This book aims to show that fuzzy set theory constitutes a highly expressive framework for modeling preference queries. It presents a study of the algorithmic aspects related to the evaluation of such queries in order to demonstrate that this framework offers a good trade-off between expressivity and efficiency. Numerous examples and proofs are liberally and lucidly demonstrated throughout and greatly enhance the detailed theoretical aspects explored in the book. Researchers working in databases will greatly benefit from this comprehensive and up-to-date study of fuzzy preference queries and it will also become an invaluable reference point for postgraduate students interested in advanced database techniques |
| ctrlnum | (ZDB-4-ITC)ocn793804763 (OCoLC)793804763 (DE-599)BVBBV045349635 |
| dewey-full | 006.3/3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/3 |
| dewey-search | 006.3/3 |
| dewey-sort | 16.3 13 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| institution | BVB |
| isbn | 9781848168701 1848168705 |
| language | English |
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| publisher | Imperial College Press |
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| spelling | Pivert, Olivier Verfasser aut Fuzzy preference queries to relational databases Olivier Pivert & Patrick Bosc London Imperial College Press 2012 1 online resource illustrations txt rdacontent c rdamedia cr rdacarrier Print version record 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 design of intelligent information systems. It provides a comprehensive study on fuzzy preference queries in the context of relational databases. Preference queries, a recent hot topic in database research, provide a basis for rank-ordering the items retrieved, which is especially valuable for large sets of answers. This book aims to show that fuzzy set theory constitutes a highly expressive framework for modeling preference queries. It presents a study of the algorithmic aspects related to the evaluation of such queries in order to demonstrate that this framework offers a good trade-off between expressivity and efficiency. Numerous examples and proofs are liberally and lucidly demonstrated throughout and greatly enhance the detailed theoretical aspects explored in the book. Researchers working in databases will greatly benefit from this comprehensive and up-to-date study of fuzzy preference queries and it will also become an invaluable reference point for postgraduate students interested in advanced database techniques COMPUTERS / Expert Systems bisacsh Expert systems (Computer science) fast Uncertainty (Information theory) fast Expert systems (Computer science) Uncertainty (Information theory) Fuzzy-Menge (DE-588)4061868-7 gnd rswk-swf Relationale Datenbank (DE-588)4049358-1 gnd rswk-swf Relationale Datenbank (DE-588)4049358-1 s Fuzzy-Menge (DE-588)4061868-7 s 1\p DE-604 Bosc, Patrick Sonstige oth Erscheint auch als Druck-Ausgabe Pivert, Olivier Fuzzy preference queries to relational databases London : Imperial College Press, 2012 9781848168695 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Pivert, Olivier 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 design of intelligent information systems. It provides a comprehensive study on fuzzy preference queries in the context of relational databases. Preference queries, a recent hot topic in database research, provide a basis for rank-ordering the items retrieved, which is especially valuable for large sets of answers. This book aims to show that fuzzy set theory constitutes a highly expressive framework for modeling preference queries. It presents a study of the algorithmic aspects related to the evaluation of such queries in order to demonstrate that this framework offers a good trade-off between expressivity and efficiency. Numerous examples and proofs are liberally and lucidly demonstrated throughout and greatly enhance the detailed theoretical aspects explored in the book. Researchers working in databases will greatly benefit from this comprehensive and up-to-date study of fuzzy preference queries and it will also become an invaluable reference point for postgraduate students interested in advanced database techniques COMPUTERS / Expert Systems bisacsh Expert systems (Computer science) fast Uncertainty (Information theory) fast Expert systems (Computer science) Uncertainty (Information theory) Fuzzy-Menge (DE-588)4061868-7 gnd Relationale Datenbank (DE-588)4049358-1 gnd |
| subject_GND | (DE-588)4061868-7 (DE-588)4049358-1 |
| title | Fuzzy preference queries to relational databases |
| title_auth | Fuzzy preference queries to relational databases |
| title_exact_search | Fuzzy preference queries to relational databases |
| title_full | Fuzzy preference queries to relational databases Olivier Pivert & Patrick Bosc |
| title_fullStr | Fuzzy preference queries to relational databases Olivier Pivert & Patrick Bosc |
| title_full_unstemmed | Fuzzy preference queries to relational databases Olivier Pivert & Patrick Bosc |
| title_short | Fuzzy preference queries to relational databases |
| title_sort | fuzzy preference queries to relational databases |
| topic | COMPUTERS / Expert Systems bisacsh Expert systems (Computer science) fast Uncertainty (Information theory) fast Expert systems (Computer science) Uncertainty (Information theory) Fuzzy-Menge (DE-588)4061868-7 gnd Relationale Datenbank (DE-588)4049358-1 gnd |
| topic_facet | COMPUTERS / Expert Systems Expert systems (Computer science) Uncertainty (Information theory) Expert systems (Computer science) Uncertainty (Information theory) Fuzzy-Menge Relationale Datenbank |
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