Efficient Ensemble Classification for Multi-Label Data Streams with Concept Drift
Most existing multi-label data streams classification methods focus on extending single-label streams classification approaches to multi-label cases, without considering the special characteristics of multi-label stream data, such as label dependency, concept drift, and recurrent concepts. Motivated...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
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Series: | Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2078-2489/10/5/158 |