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| Content Provider | ACM Digital Library |
|---|---|
| Author | Grasser, Becky Matos, Victor |
| Abstract | Students in a typical database course are introduced to theoretical design from a functional dependency standpoint. Functional dependencies are rules of the form X→Y, where X and Y are attributes of a relation r(R). Those rules express the potential one-to-one, and many-to-one relationships among the atributes of R. Unfortunately finding the non-trivial rules X→Y from an existing arbitrary relation is a hard problem. We present an extension of the SQL-based algorithm of Bell and Brockhausen [1] to explore a relation and find its exact and approximate functional dependencies. We use the g3 measure of Kivinen and Mannila to express the degree of approximation of a dependency. This application could be used either as an example or a project in an advanced database course. |
| Starting Page | 58 |
| Ending Page | 63 |
| Page Count | 6 |
| File Format | |
| ISSN | 00978418 |
| DOI | 10.1145/1041624.1041658 |
| Journal | ACM SIGCSE Bulletin (SGCS) |
| Volume Number | 36 |
| Issue Number | 4 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1978-02-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Database management Languages Computer and information science education Functional dependencies Sql |
| Content Type | Text |
| Resource Type | Article |
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