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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Asociación Española para la Inteligencia Artificial
2018-12-01
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Series: | Inteligencia Artificial |
Subjects: | |
Online Access: | https://journal.iberamia.org/index.php/intartif/article/view/579 |