A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points
Author:
Affiliation:
1. University of Padova,Department of Information Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9936897/9936898/09936964.pdf?arnumber=9936964
Reference14 articles.
1. Ensemble methods in machine learning;dietterich;International Workshop on Multiple Classifier Systems,2000
2. Isolation Forest for Anomaly Detection in Raw Vehicle Sensor Data
3. Anomaly detection
4. An introduction to ROC analysis
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