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Isolation Forest
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou, 2008. 2008 Eighth IEEE International Conference on Data Mining.
Introduces the isolation forest, an anomaly detector that singles out unusual points by how quickly random splits separate them, instead of modelling what normal data look like.
What it's used for here
The inductive methods survey proposes it to flag lines and pages that fit no pattern (test J1).
Cited by on this site 1 record
1 methods surveys
SRCInductive methods
Cite it
Liu, F. T., Ting, K. M., & Zhou, Z. H. (2008). Isolation Forest. 2008 Eighth IEEE International Conference on Data Mining. https://doi.org/10.1109/icdm.2008.17
@article{liu2008isolation,
author = {Liu, Fei Tony and Ting, Kai Ming and Zhou, Zhi-Hua},
title = {Isolation Forest},
journal = {2008 Eighth IEEE International Conference on Data Mining},
year = {2008},
doi = {10.1109/icdm.2008.17},
url = {https://doi.org/10.1109/icdm.2008.17}
}TY - JOUR TI - Isolation Forest AU - Liu, Fei Tony AU - Ting, Kai Ming AU - Zhou, Zhi-Hua PY - 2008 JO - 2008 Eighth IEEE International Conference on Data Mining DO - 10.1109/icdm.2008.17 UR - https://doi.org/10.1109/icdm.2008.17 ER -
Liu, Fei Tony et al.. “Isolation Forest.” 2008 Eighth IEEE International Conference on Data Mining (2008). https://doi.org/10.1109/icdm.2008.17.