Mining recurrent concepts in data streams using the discrete Fourier transform
In this research we address the problem of capturing recurring concepts in a data stream environment. Recurrence capture enables the re-use of previously learned classifiers without the need for re-learning while providing for better accuracy during the concept recurrence interval. We capture concep...
| Main Authors: | , |
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| Format: | Others |
| Published: |
arXiv,
2014-11-19T03:32:17Z.
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| Subjects: | |
| Online Access: | Get fulltext |