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

Claim 6:
7. 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:

predicting activity within the software application for one or more time granularities of the plurality of time granularities using a convolutional neural network (CNN), wherein the CNN has been trained to recognize relationships between activities across the first dimension, the second dimension, and the third dimension when provided with three-dimensional input data; and
allocating computing resources to execute operations using the software application based on the predicted activity within the software application.