Mining Functional Dependency from Relational Databases Using Equivalent Classes and Minimal Cover
Jalal Atoum, Dojanah Bader & Arafat Awajan
Journal of Computer Science, Volume 4, Issue 6, pp. 421–426 · doi.org/10.3844/jcssp.2008.421.426
Abstract
Data Mining (DM) represents the process of extracting interesting and previously unknown knowledge from data. This study proposes a new algorithm called FD_Discover for discovering Functional Dependencies (FDs) from databases. This algorithm employs some concepts from relational databases design theory specifically the concepts of equivalences and the minimal cover. It has resulted in large improvement in performance in comparison with a recent and similar algorithm called FD_MINE.
Licence and reuse
Free to read. This article carries the publisher’s copyright, as printed on it: © 2008 Science Publications. It is free to read; ask us before reusing it.
How to reuse this articleResponses (0)
About this article
Atoum, J., Bader, D. & Awajan, A. (2008). Mining Functional Dependency from Relational Databases Using Equivalent Classes and Minimal Cover . Journal of Computer Science, 4(6), 421–426. https://doi.org/10.3844/jcssp.2008.421.426
- Licence
- © Science Publications
- Issue
- Volume 4, Issue 6
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record