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Discover Dependencies from Data—A Review

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4 Author(s)
Jixue Liu ; University of South Australia, Mawson Lakes ; Jiuyong Li ; Chengfei Liu ; Yongfeng Chen

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.

Published in:

IEEE Transactions on Knowledge and Data Engineering  (Volume:24 ,  Issue: 2 )