jaroslav-kuchar/fpmoutliers: Frequent Pattern Mining Outliers
Version 0.1.0

Algorithms for detection of outliers based on frequent pattern mining. Such algorithms follow the paradigm: if an instance contains more frequent patterns, it means that this data instance is unlikely to be an anomaly (He Zengyou, Xu Xiaofei, Huang Zhexue Joshua, Deng Shengchun (2005) ). The package implements a list of existing state of the art algorithms as well as other published approaches: FPI, WFPI, FPOF, FPCOF, LFPOF, MFPOF, WCFPOF and WFPOF.

Getting started

Package details

AuthorJaroslav Kuchar [aut, cre]
MaintainerJaroslav Kuchar <[email protected]>
LicenseApache License (== 2.0) | file LICENSE
Version0.1.0
URL https://github.com/jaroslav-kuchar/fpmoutliers
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("jaroslav-kuchar/fpmoutliers")
jaroslav-kuchar/fpmoutliers documentation built on Nov. 25, 2017, 11:48 p.m.