The paper proposes novel anomaly scores for Isolation Forests. In detail we make two contributions. The first aims at improving the scores at tree level by employing additional information present in the tree: w
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...
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...