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公开(公告)号：US20190007432A1
公开(公告)日：2019-01-03
申请号：US15637471
申请日：2017-06-29
Applicant: SAP SE
Inventor： Atreju Florian Tauschinsky , Robert Meusel , Oliver Frendo
Abstract: Methods, systems, and computer-readable storage media for ranking anomaly detection algorithms, including operations of receiving a set of unlabeled data from one or more sensors in a plurality of sensors of an internet of things, generating a plurality of data distributions corresponding to the set of unlabeled data by using a plurality of anomaly detection algorithms, and ranking the plurality of anomaly detection algorithms relative to the set of unlabeled data based on a distance between a first quantile and a second quantile of each of the plurality of data distributions.
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公开(公告)号：US20180239662A1
公开(公告)日：2018-08-23
申请号：US15463601
申请日：2017-03-20
Applicant: SAP SE
Inventor： Robert Meusel , Jaakob Kind , Atreju Florian Tauschinsky , Janick Frasch , Minji Lee , Michael Otto
CPC classification number: G06F11/079 , G05B23/024 , G06F11/0721 , G06F16/2477 , G06N7/005
Abstract: Some embodiments include reception of a time-series of a respective data value generated by each of a plurality of sensors, calculation of a regression associated with a first sensor of the plurality of sensors based on the received plurality of time-series, the regression being a function of the respective data values of the others of the plurality of data sources, reception of respective data values associated with a time from and generated by each the plurality of respective sensors, determination of a predicted value associated with the time for the first sensor based on the regression associated with the first sensor and on the respective data values associated with the time, comparison of the predicted value with the received value associated with the time and generated by the first sensor, and determination of a value indicating a likelihood of an anomaly based on the comparison.
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