Real-time feature selection technique with concept drift detection using adaptive micro-clusters for data stream mining
Data streams are unbounded, sequential data instances that are generated with high Velocity. Classifying sequential data instances is a very challenging problem in machine learning with applications in network intrusion detection, financial markets and applications requiring real-time sensor-network...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2018
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |