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1994 | OriginalPaper | Buchkapitel

Clustering of Symbolically Described Events for Prediction of Numeric Attributes

verfasst von : Bradley L. Whitehall, David J. Sirag Jr.

Erschienen in: Selecting Models from Data

Verlag: Springer New York

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This chapter describes a new conceptual clustering system capable of constructing classes for the prediction of a single numeric attribute. The clustering for single numeric attribute prediction (CSNAP) system clusters data described by a variety of symbolic attributes. The system trades off the accuracy of the predicted values against the clarity of the descriptions produced to produce classes which are both predictive and meaningful to a human observer. CSNAP has been used to develop classes for time based events and has demonstrated an ability to learn complex cyclic patterns.

Metadaten
Titel
Clustering of Symbolically Described Events for Prediction of Numeric Attributes
verfasst von
Bradley L. Whitehall
David J. Sirag Jr.
Copyright-Jahr
1994
Verlag
Springer New York
DOI
https://doi.org/10.1007/978-1-4612-2660-4_37