文章基本信息

标题：A Survey on Strategies Developed for Mining Functional Dependencies
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作者：P.Andrew ; J.Anishkumar ; Prof.S.Balamurugan 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：2
页码：688
DOI：10.15680/IJIRSET.2015.0402088
出版社：S&S Publications
摘要：This paper details about various methods prevailing in literature on strategies developed for miningfunctional dependencies. Efficient discovery of functional and approximate dependencies of partition is discussed indetail. An efficient algorithm for discovery functional and approximate dependencies called TANE is examined.Mining functional dependencies from data and Depth first algorithms and influencing for AFD mining are examined indetail. Polynomial time queries over inconsistent databases with functional dependency and foreign keys are reviewed.This survey would promote a lot of research in the area of mining functional dependencies.
关键词：Functional Dependency; Depth-First Algorithm; Foreign Key; Data Anonymization; Information;Mining.