Patent ID: 11954129
Assignee: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. An edge system comprising:
a processor; and
a memory coupled with the processor, the memory storing programmed instructions, which when executed by the processor, causes the processor to:
process input data, based on baseline reference data, to obtain a plurality of representative points, wherein the input data comprises at least one of data received from a data source and prediction data obtained from a data model, and wherein the plurality of representative points correspond to segments of the input data derived using a predefined segment size;
cluster the plurality of representative points to generate a plurality of clusters using a first data clustering technique, wherein each cluster among the plurality of clusters comprises at least one representative point from the plurality of representative points;
modify the predefined segment size when deviations are identified between multiple sets of clusters of the plurality of representative points prepared using different data clustering techniques;
detect a first outlier cluster from the plurality of clusters, based on at least one of a maximum distance of the plurality of clusters from a highest density cluster and comparison of quantity and values of the plurality of representative points with predefined rules, wherein a histogram algorithm is used to determine densities corresponding to the plurality of clusters;
identify data drift, based on changes in densities of the plurality of clusters over a predefined period of time;
generate a machine learning algorithm utilizing information corresponding to the first outlier cluster and the data drift; and
apply the machine learning algorithm to train the data model to update the baseline reference data.