Extraction and applications of statistical relationships in relational databases
Wen‐Chi Hou · IEEE Transactions on Knowledge and Data Engineering · 1996
Discusses the modeling and extraction of statistical relationships among attributes. Different methods are used for the extraction of different types of relationships. A complete methodology for extraction is developed by integrating widely-accepted statistical methods. Statistical relationships manifest the embedded relationships in data, and thus lend themselves naturally to estimating unknown attribute values and detecting unlikely values. We carefully examine these applications and evaluate the usefulness of statistical relationships in these applications using a real-life database.