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Attribute (Feature) Completion – The Theory of Attributes from Data Mining Prospect

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Abstract

A ”correct ” selection of attributes (features) is vital in data mining. As a first step, this paper constructs all possible attributes of a given relation. The results are based on the observations that each relation is isomorphic to a unique abstract relation, called canonical model. The complete set of attributes of the canonical model is, then, constructed. Any attribute of a relation can be interpreted (via isomorphism) from such a complete set

Topics: attributes, feature, data mining, granular, data
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.384.979
Provided by: CiteSeerX
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