fpmoutliers: Frequent Pattern Mining Outliers

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) <doi:10.2298/CSIS0501103H>). 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 <jaroslav.kuchar@gmail.com>
LicenseApache License (== 2.0) | file LICENSE
URL https://github.com/jaroslav-kuchar/fpmoutliers
Package repositoryView on CRAN
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fpmoutliers documentation built on May 2, 2019, 8:53 a.m.