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)
|Author||Jaroslav Kuchar [aut, cre]|
|Maintainer||Jaroslav Kuchar <[email protected]>|
|License||Apache License (== 2.0) | file LICENSE|
|Package repository||View on GitHub|
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