FIELD: physics.
SUBSTANCE: invention relates to the field of information technologies, in particular to a method of obtaining low-dimensional numerical representation of sequences of events. Disclosed is a computer-implemented method of obtaining low-dimensional numerical representation of sequences of events, comprising steps of: obtaining a set of input data, characterizing events, aggregated in a sequence and associated with at least one information entity, wherein pre-processing of said set of input data, in which: generating positive and negative pairs of sequences of transaction events, using a transactional event encoder generating a vector representation of each transaction event from said set of attributes, normalizing numerical variables; processing time marks, concatenating the obtained vector representations of categorical variables and normalized numerical variables; single event vector is generated based on the resultant concatenation.
EFFECT: higher efficiency of generating features for machine learning models by generating low-dimensional numerical representations of sequences of events.
7 cl, 8 dwg, 8 tbl
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