FIELD: computer equipment.
SUBSTANCE: invention relates to computer engineering. System comprises: a web application module configured to add new monitoring sources to the system, configure advanced monitoring parameters, view the history of events and report on monitoring; a module of integration connectors configured to connect the system to different sources for acquiring data; machine learning module, which is independently trained to determine quality of obtained data in real time, during which: receives from connectors transformed data from different sources for a given period of time and stores in a common sample; initiates a process of initialization monitoring of a stored sample by determining data change scales, wherein for each indicator from the sample in accordance with a certain scale, statistics are calculated, based on the calculated statistics for each indicator, an initialization algorithm is launched; after completion of training, the parameters of the trained model are stored in the database.
EFFECT: technical result consists in improvement of quality and accuracy of data analysis.
4 cl, 5 dwg
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Authors
Dates
2020-03-05—Published
2019-07-04—Filed