Author:Eibe Frank
Category:Outlier
Changes:One bug fix and one other change: Euler-Mascheroni constant was to be used instead of Math.E, and official implementation uses log2(n), where n is the number of datapoints, not log2(subsample size) as stated in the paper.
Date:2013-02-08
Depends:weka (>=3.7.2)
Description:Class for building and using a classifier built on the Isolation Forest anomaly detection algorithm. For more information see Fei Tony Liu, Kai Ming Ting and Zhi-Hua Zhou. 2008. Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, pages 413-422.
License:GPL 3.0
Maintainer:Weka team <wekalist{[at]}list.scms.waikato.ac.nz>
PackageURL:http://prdownloads.sourceforge.net/weka/isolationForest1.0.1.zip?download
URL:http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/icdm08b.pdf
Version:1.0.1