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A survey of evolutionary algorithms for decision-tree induction
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2012)
This paper presents a survey of evolutionary algorithms that are designed for decision-tree induction. In this context, most of the paper focuses on approaches that evolve decision trees as an alternate heuristics to the ...
Hardware acceleration of frequent itemsets mining on data streams
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2017)
CHSMST+: An algorithm for spatial clustering
(2017-06-07)
Spatial clustering has been widely studied due to its application in several areas. However, the algorithms of such technique still need to overcome several challenges to achieve satisfactory results on a timely basis. ...
Pattern-based clustering using unsupervised decision trees
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2015)
Tree-based convolutional neural networks for object classification in segmented satellite images
Satellite images have a very high resolution, which make their automatic processing computationally costly, and they suffer from artifacts making their processing difficult. This paper describes a method for the effective ...
Hardware acceleration of frequent itemsets mining on data streams
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2017)