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Titre :
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Extraction and applications of statistical relationships in relational databases
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Auteurs :
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W. Hou
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Type de document :
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article/chapitre/communication
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Année de publication :
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1996
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Format :
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p.939-945
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Langues:
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= Anglais
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Catégories :
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INTELLIGENCE ARTIFICIELLE
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Mots-clés:
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MODELISATION
;
METHODOLOGIE
;
ANALYSE STATISTIQUE
;
EXTRACTION
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Résumé :
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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.
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Source :
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IEEE Transactions on knowledge and data engineering, vol 8, n°6
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