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Anomaly Detection using the "Isolation Forest" algorithm
<!--HTML--><p style="text-align: justify;"> Anomaly detection can provide clues about an outlying minority class in your data: hackers in a set of network events, fraudsters in a set of credit card transactions, or exotic particles in a set of high-energy collisions. In this t...
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Lenguaje: | eng |
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2015
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Acceso en línea: | http://cds.cern.ch/record/2030962 |