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<p><b>Abstract</b>—In this paper, we discuss modeling and extraction of statistical relationships among attributes. Different methods are used for extraction of different types of relationships. A complete methodology for extraction is developed by integrating widely accepted statistical methods. Statistical relationships manifest embedded relationships in data and thus lend themselves naturally to estimating unknown attribute values and detecting unlikely values. We will carefully examine these applications and evaluate the usefulness of statistical relationships in these applications using a real-life database.</p>
Data mining, estimating unknown attribute values, integration of data mining techniques, integrity constraints, knowledge discovery in databases, statistical relationships.

W. Hou, "Extraction and Applications of Statistical Relationships in Relational Databases," in IEEE Transactions on Knowledge & Data Engineering, vol. 8, no. , pp. 939-945, 1996.
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