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Oznake: computer science;data mining;temporal & streams mining
A new algorithm for building decision tree classifiers is proposed. The algorithm is executed in a distributed environment and is especially designed for classifying large datasets and streaming data. It is empirically shown to be as accurate as standard decision tree classifiers, while being scalab ...
Leto: 2008 Vir: videolectures.net
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