Discover Dependencies from Data—A Review

Authors:
Jixue Liu;Jiuyong Li;Chengfei Liu;Yongfeng Chen
Affiliations:
University of South Australia, Mawson Lakes;University of South Australia, Mawson Lakes;Swinburne University of Technology, Melbourne;Xian University of Architecture and Technology, Xian
Venue:
IEEE Transactions on Knowledge and Data Engineering
Year:
2012

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Letting keys and functional dependencies out of the bag

APCCM '13 Proceedings of the Ninth Asia-Pacific Conference on Conceptual Modelling - Volume 143

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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.