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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.
Package details |
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Author | Jaroslav Kuchar [aut, cre] |
Maintainer | Jaroslav Kuchar <jaroslav.kuchar@gmail.com> |
License | Apache License (== 2.0) | file LICENSE |
Version | 0.1.0 |
URL | https://github.com/jaroslav-kuchar/fpmoutliers |
Package repository | View on CRAN |
Installation |
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