A Comparative Evaluation Of Semi-supervised Anomaly Detection Techniques
As we are entering the information age and the amount of data is rapidly increasing, the task of detecting anomalies has become a necessity in many organizations as anomalies often reveal useful information which in many cases can be critical to save lives or to catch imposters. The semi-supervised...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2020
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280669 |