Isolation forest
id:
isolation-forest-178-1327627
title:
Isolation forest
text:
Isolation Forest is an algorithm for data anomaly detection using binary trees. It was developed by Fei Tony Liu in 2008. It has a linear time complexity and a low memory use, which works well for high-volume data. It is based on the assumption that because anomalies are few and different from other data, they can be isolated using few partitions. Like decision tree algorithms, it does not perform density estimation. Unlike decision tree algorithms, it uses only path length to output an anomaly
brand slug:
wiki
category slug:
encyclopedia
description:
Algorithm for anomaly detection
original url:
https://en.wikipedia.org/wiki/Isolation_forest
date created:
2019-09-26T17:33:53Z
date modified:
2024-09-04T10:01:57Z
main entity:
{"identifier":"Q85770174","url":"https://www.wikidata.org/entity/Q85770174"}
image:
fields total:
13
integrity:
15