Semi-supervised learning with HALFADO: two case studies
This thesis studies the HALFADO algorithm[1], a semi-supervised learning al- gorithm designed for detecting anomalies in complex information flows. This report assesses HALFADO’s performance in terms of detection capabilities (pre- cision and recall) and computational requirements. We compare the re...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Institutionen för informationsteknologi
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-425888 |