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Discover Dependencies from Data—A Review

Authors :
Chengfei Liu
Yongfeng Chen
Jiuyong Li
Jixue Liu
Liu, Jixue
Li, Jiuyong
Chen, Yongfeng
Source :
IEEE Transactions on Knowledge and Data Engineering. 24:251-264
Publication Year :
2012
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2012.

Abstract

Functional and inclusion dependency discovery is important to knowledge discovery, database semantics analysis, database design, and data quality assessment. Motivated by the importance of dependency discovery, this paper reviews the methods for functional dependency, conditional functional dependency, approximate functional dependency, and inclusion dependency discovery in relational databases and a method for discovering XML functional dependencies. Refereed/Peer-reviewed

Details

ISSN :
10414347
Volume :
24
Database :
OpenAIRE
Journal :
IEEE Transactions on Knowledge and Data Engineering
Accession number :
edsair.doi.dedup.....1f8400af1422beaaf31c06e47e4d16b2