Interactive Anomaly Detection With Reduced Expert Effort
In several applications, when anomalies are detected, human experts have to investigate or verify them one by one. As they investigate, they unwittingly produce a label - true positive (TP) or false positive (FP). In this thesis, we propose two methods (PAD and Clustering-based OMD/OJRank) that expl...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
| Published: |
Högskolan i Halmstad
2020
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42815 |