Patent ID: 11928088
Assignee: SAP SE
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. The non-transitory machine-readable medium of claim 15, wherein the operations further comprise:
based on predictions made by the trained time field classifier machine learning model, selecting a subset of one or more time fields classified as having a likelihood of being a predictor for growth above a threshold;
identifying one or more category fields of the one or more application tables, each category field being of a character type;
for each of the one or more category fields, counting a number of distinct values appearing with time values falling within each of the plurality of time intervals in each of the subset of one or more time fields in another set of one or more application tables, and forming a growth driver histogram from the distinct values and time intervals for each combination of category field and time field in the subset of one or more time fields; and
predicting a likelihood that a first category field is a driver of growth based upon one or more growth driver histograms corresponding to the first category field.