Outlier detection for streaming data
Номер патента: EP3400543A1
Опубликовано: 14-11-2018
Автор(ы): Daniel BLICK, Nina Mishra, Okke Joost SCHRIJVERS, Sudipto Guha
Принадлежит: Amazon Technologies Inc
Опубликовано: 14-11-2018
Автор(ы): Daniel BLICK, Nina Mishra, Okke Joost SCHRIJVERS, Sudipto Guha
Принадлежит: Amazon Technologies Inc
Реферат: Random cut trees are generated with respective to respective samples of a baseline set of data records of a data set for which outlier detection is to be performed. To construct a particular random cut tree, an iterative splitting technique is used, in which the attribute along which a given set of data records is split is selected based on its value range. With respect to a newly-received data record of the stream, an outlier score is determined based at least partly on a potential insertion location of a node representing the data record in a particular random cut tree, without necessarily modifying the random cut tree.
Outlier detection for streaming data
Номер патента: WO2017120519A1. Автор: Daniel BLICK,Nina Mishra,Sudipto Guha,Okke Joost SCHRIJVERS. Владелец: Amazon Technologies, Inc.. Дата публикации: 2017-07-13.