Isolation‐based anomaly detection

Version 1.2 (1.71 MB) by YE
Source code of Isolation‐based anomaly detection (iNNE).
149 Downloads
Updated 15 Dec 2020

These functions implement an Isolation‐based anomaly detection iNNE, proposed by Bandaragoda, Tharindu R., et al. "Isolation‐based anomaly detection using nearest‐neighbor ensembles" Computational Intelligence (2018). https://onlinelibrary.wiley.com/doi/abs/10.1111/coin.12156

Written by Ye Zhu, Deakin University, Nov 2020, version 1.2

This code was used for the following publication (Bibtex format):

@article{bandaragoda2018isolation,
title={Isolation-based anomaly detection using nearest-neighbor ensembles},
author={Bandaragoda, Tharindu R and Ting, Kai Ming and Albrecht, David and Liu, Fei Tony and Zhu, Ye and Wells, Jonathan R},
journal={Computational Intelligence},
volume={34},
number={4},
pages={968--998},
year={2018},
publisher={Wiley Online Library}
}

Cite As

YE (2024). Isolation‐based anomaly detection (https://github.com/zhuye88/iNNE/releases/tag/v1.2), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2020b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.2

See release notes for this release on GitHub: https://github.com/zhuye88/iNNE/releases/tag/v1.2

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.