CPC G06F 16/213 (2019.01) [G06F 16/256 (2019.01)] | 20 Claims |
1. A system comprising:
at least one hardware processor; and
a computer-readable medium storing instructions that, when executed by the at least one hardware processor, cause the at least one hardware processor to perform operations comprising:
accessing one or more application tables in a software database;
identifying one or more time fields of the one or more application tables, each time field having a time value;
for each of the one or more time fields, counting a number of records appearing in the one or more application tables in the time field having time values falling within each of a plurality of time intervals of a preset length, and forming a time field histogram from the record counts and time intervals;
accessing a label for each of the one or more time field histograms, the label for a given time field histogram indicating a classification of a likelihood that the time field corresponding to the given time field histogram is a predictor of growth; and
training a time field classifier machine learning model by passing the one or more time field histograms and the one or more labels into a first machine learning algorithm.
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