Positive and unlabeled learning for anomaly detection
Anomaly detection is of great interest to big data applications but still remains a challenging problem for machine learning-based methods. For unsupervised learning, the performance may not be satisfactory due to the lack of label information while for supervised learning, it is difficult to acquir...
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| Format: | Thesis |
| Language: | English |
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2018
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| Online Access: | http://hdl.handle.net/10356/75883 |