期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2012
卷号：3
期号：6
页码：1436-1438
出版社：IJECCE
摘要：Functional dependencies (FDs) are fundamental constraints that define the relation between attributes in a database. Key relationships are special kinds of functional dependencies, and FDs provide a mechanism for database normalization during the design process. Conditional Functional Dependencies (CFDs) extend standard functional dependencies (FDs) by enforcing patterns of semantically related constants. CFDs have been proven more effective than FDs in detecting and repairing inconsistencies (dirtiness) of Data. To make CFD methods to be effective in practice, it is necessary to discover CFDs from the sample data. This paper presents an overview of discovering conditional functional dependencies using algorithms like CFDMiner, CTANE, Apriori-like and close- like
