Efficient handling of high-dimensional feature spaces by randomized classifier ensembles


Handling massive datasets is a difficult problem not only due to prohibitively large numbers of entries but in some cases also due to the very high dimensionality of the data. Often, severe feature selection is performed to limit the number of attributes to a manageable size, which unfortunately can lead to a loss of useful information. Feature space… (More)
DOI: 10.1145/775047.775093

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