Uncertainty in Multi-Source Databases:
Database and database systems have become an essential part of everyday life, such as in banking activities, online shopping, or reservations of airline tickets and hotels. These trends place more demands on the capabilities of future database systems, which need to evolve into decision making syste...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2003
|
| Schriftenreihe: | Studies in Fuzziness and Soft Computing
130 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | Database and database systems have become an essential part of everyday life, such as in banking activities, online shopping, or reservations of airline tickets and hotels. These trends place more demands on the capabilities of future database systems, which need to evolve into decision making systems based on data from multiple sources with varying reliability. In this book a model for the next generation of database systems is presented. It is demonstrated how to quantize favorable and unfavorable qualitative facts so that they can be stored and processed efficiently, as well as how to use the reliability of the contributing sources in our decision makings. The concept of a confidence index set (ciset), is introduced in order to mathematically model the above issues. A simple introduction to relational database systems is given allowing anyone with no background in database theory to appreciate the further contents of this work, especially the extended relational operations and semantics of the ciset relational database model |
| Beschreibung: | 1 Online-Ressource (XIV, 188 p) |
| ISBN: | 9783540370994 |
| DOI: | 10.1007/978-3-540-37099-4 |
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Datensatz im Suchindex
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| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-540-37099-4 |
| format | Electronic eBook |
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| id | DE-604.BV045149153 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:03Z |
| institution | BVB |
| isbn | 9783540370994 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538852 |
| oclc_num | 1050946069 |
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| owner | DE-573 DE-634 |
| owner_facet | DE-573 DE-634 |
| physical | 1 Online-Ressource (XIV, 188 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 2003 |
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| publisher | Springer Berlin Heidelberg |
| record_format | marc |
| series2 | Studies in Fuzziness and Soft Computing |
| spelling | Nair, Premchand S. Verfasser aut Uncertainty in Multi-Source Databases by Premchand S. Nair Berlin, Heidelberg Springer Berlin Heidelberg 2003 1 Online-Ressource (XIV, 188 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 130 Database and database systems have become an essential part of everyday life, such as in banking activities, online shopping, or reservations of airline tickets and hotels. These trends place more demands on the capabilities of future database systems, which need to evolve into decision making systems based on data from multiple sources with varying reliability. In this book a model for the next generation of database systems is presented. It is demonstrated how to quantize favorable and unfavorable qualitative facts so that they can be stored and processed efficiently, as well as how to use the reliability of the contributing sources in our decision makings. The concept of a confidence index set (ciset), is introduced in order to mathematically model the above issues. A simple introduction to relational database systems is given allowing anyone with no background in database theory to appreciate the further contents of this work, especially the extended relational operations and semantics of the ciset relational database model Computer Science Data Structures, Cryptology and Information Theory Database Management Artificial Intelligence (incl. Robotics) Information and Communication, Circuits Complexity Operation Research/Decision Theory Computer science Operations research Decision making Data structures (Computer science) Database management Artificial intelligence Information theory Complexity, Computational Erscheint auch als Druck-Ausgabe 9783642057052 https://doi.org/10.1007/978-3-540-37099-4 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Nair, Premchand S. Uncertainty in Multi-Source Databases Computer Science Data Structures, Cryptology and Information Theory Database Management Artificial Intelligence (incl. Robotics) Information and Communication, Circuits Complexity Operation Research/Decision Theory Computer science Operations research Decision making Data structures (Computer science) Database management Artificial intelligence Information theory Complexity, Computational |
| title | Uncertainty in Multi-Source Databases |
| title_auth | Uncertainty in Multi-Source Databases |
| title_exact_search | Uncertainty in Multi-Source Databases |
| title_full | Uncertainty in Multi-Source Databases by Premchand S. Nair |
| title_fullStr | Uncertainty in Multi-Source Databases by Premchand S. Nair |
| title_full_unstemmed | Uncertainty in Multi-Source Databases by Premchand S. Nair |
| title_short | Uncertainty in Multi-Source Databases |
| title_sort | uncertainty in multi source databases |
| topic | Computer Science Data Structures, Cryptology and Information Theory Database Management Artificial Intelligence (incl. Robotics) Information and Communication, Circuits Complexity Operation Research/Decision Theory Computer science Operations research Decision making Data structures (Computer science) Database management Artificial intelligence Information theory Complexity, Computational |
| topic_facet | Computer Science Data Structures, Cryptology and Information Theory Database Management Artificial Intelligence (incl. Robotics) Information and Communication, Circuits Complexity Operation Research/Decision Theory Computer science Operations research Decision making Data structures (Computer science) Database management Artificial intelligence Information theory Complexity, Computational |
| url | https://doi.org/10.1007/978-3-540-37099-4 |
| work_keys_str_mv | AT nairpremchands uncertaintyinmultisourcedatabases |