Ensemble Classification of Data Streams Based on Attribute Reduction and a Sliding Window

With the current increasing volume and dimensionality of data, traditional data classification algorithms are unable to satisfy the demands of practical classification applications of data streams. To deal with noise and concept drift in data streams, we propose an ensemble classification algorithm...

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Bibliographic Details
Main Authors: Yingchun Chen, Ou Li, Yu Sun, Fei Li
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Applied Sciences
Subjects:
Online Access:http://www.mdpi.com/2076-3417/8/4/620