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Mostrando ítems 21-24 de 24
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SNN: A Supervised Clustering Algorithm
(Springer, 2001-06)
In this paper, we present a new algorithm based on the nearest neighbours method, for discovering groups and identifying interesting distributions in the underlying data in the labelled databases. We introduces the theory ...
Ponencia
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Subgroup Discovery for Defect Prediction
(Springer, 2011-09)
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NLC: A Measure Based on Projections
(2003)
In this paper, we propose a new feature selection criterion. It is based on the projections of data set elements onto each attribute. The main advantages are its speed and simplicity in the evaluation of the attributes. ...
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Wrapper for Ranking Feature Selection
(2004)
We propose a new feature selection criterion not based on calculated measures between attributes, or complex and costly distance calculations. Applying a wrapper to the output of a new attribute ranking method, we obtain ...