The anomaly score is therefore a function inversely related to the leaf depth. This paper proposes enhanced anomaly scores of the Isolation Forest by making two different contributions. The first consists in weighing the path traversed by an object to obtain a more informative anomaly score. The ...
The anomaly detection threshold 𝑆𝑡ℎ𝑟𝑒𝑠ℎSthresh is set based on the statistical distribution of anomaly scores 𝑆(𝑋)={𝑆(𝑥1),𝑆(𝑥2),…,𝑆(𝑥𝑛)}S(X)={S(x1),S(x2),…,S(xn)} from historical data X. The mean 𝜇𝑆μS and standard deviation ...
providing dataset users with the flexibility to create customized filters to suit their specific requirements. For instance, users can employ algorithms’ scores to establish custom thresholds. Alternatively, in the context of the Isolation Forest method, they can flag a data entry as a potential out...