Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection
Author:
Affiliation:
1. Nanjing University, Nanjing, China
2. Osaka University, Osaka, Japan
Funder
111 Program
JST CREST
National Key R&D Program ofChina
NSFC
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394486.3403062
Reference24 articles.
1. Isolation-based anomaly detection using nearest-neighbor ensembles
2. Random-close packing limits for monodisperse and polydisperse hard spheres
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