Learning with ensembles from non-stationary data streams

Nowadays many sources generate massive data continuousl y, without control of the arrival order and at high speed. Internet, cell-phones, cars, and security sensors are examples of such sources. Because of the temporal dimension of the data (they are constantly arriving over time), and the dynamism...

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Bibliographic Details
Main Authors: Alberto Verdecia-Cabrera, Isvani Frias Blanco, Luis Quintero Dominguez, Yanet Rodriguez Sarabia
Format: Article
Language:English
Published: Asociación Española para la Inteligencia Artificial 2018-12-01
Series:Inteligencia Artificial
Subjects:
Online Access:https://journal.iberamia.org/index.php/intartif/article/view/579