Rakuten Group, Inc.

Bruno Andre Charron

Dinesh Daultani

An input data generation unit is configured to generate, based on log data indicating a log of a behavior of a user with respect to a given computer resource for each period, input data for the period, which is associated with the log data. A user probability data generation unit is configured to generate user probability data based on output obtained from a trained machine learning model when the input data is input to the trained machine learning model. An anomaly determination unit is configured to determine whether an anomaly has occurred in the behavior of the user during a latest period based on the user probability data generated based on the input data for the latest period and the user probability data generated based on the input data for a period before the latest period.

Anomaly determining system, anomaly determining method and program

An information processing apparatus having a first fitness calculation to calculate a fitness using a predetermined function for models in a population; a virtual model generating to select, as parent models, models having higher value of the fitness using the first fitness calculation among the models, and generate a virtual model that outputs by performing calculation of output results of the selected parent models; a second fitness calculation to calculate the fitness of the virtual model using the predetermined function; a replacing operation constituting the population by adding the virtual model and by deleting a model having lower value of the fitness among the models in the population; and a model extracting to extract a model having higher value of the fitness from the population by repeating processing by the virtual model generating, the second fitness calculation, and the model replacing until a predetermined termination condition is reached.

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Tokyo, Japan

Bruno Andre Charron