Patent ID: 11922310
Assignee: INTUIT INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method, comprising:
generating a multidimensional time-series data set from time-series data associated with activity within a software application, wherein the multidimensional time-series data set comprises;
a first dimension that is associated with a first time granularity of a plurality of time granularities;
a second dimension that is associated with a second time granularity of the plurality of time granularities; and
a third dimension that is associated with two or more time granularities of the plurality of time granularities:

training a convolutional neural network (CNN), using the multidimensional time-series data set, to predict future activity within the software application for one or more time granularities of the plurality of time granularities such that, as a result of the training, the CNN is configured to recognize relationships between activities across the first dimension, the second dimension, and the third dimension when provided with three-dimensional input data;
and
deploying the CNN.