This site provides the source code of Isolation‐based anomaly detection (iNNE).

https://onlinelibrary.wiley.com/doi/abs/10.1111/coin.12156

Bandaragoda, T.R., Ting, K.M., Albrecht, D., Liu, F.T., Zhu, Y. and Wells, J.R., 2018. Isolation‐based anomaly detection using nearest‐neighbor ensembles. Computational Intelligence, 34(4), pp.968-998.

Project Activity

See All Activity >

Categories

Machine Learning

License

GNU General Public License version 3.0 (GPLv3)

Follow Isolation‐based anomaly detection

Isolation‐based anomaly detection Web Site

Other Useful Business Software
Skillfully - The future of skills based hiring Icon
Skillfully - The future of skills based hiring

Realistic Workplace Simulations that Show Applicant Skills in Action

Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Isolation‐based anomaly detection!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

MATLAB

Related Categories

MATLAB Machine Learning Software

Registered

2020-11-24