公开(公告)号：US11954129B2

公开(公告)日：2024-04-09

申请号：US17225805

申请日：2021-04-08

申请人： Hewlett Packard Enterprise Development LP

发明人： Satish Kumar Mopur ,  Sridhar Balachandriah ,  Gunalan Perumal Vijayan ,  Suresh Ladapuram Soundarajan ,  Krishna Prasad Lingadahalli Shastry

IPC分类号： G06F16/28 ,  G06F18/214 ,  G06F18/2321 ,  G06F18/23213 ,  G06F18/2413 ,  G06F18/2433

CPC分类号： G06F16/285 ,  G06F18/214 ,  G06F18/2321 ,  G06F18/23213 ,  G06F18/24137 ,  G06F18/2433

摘要： The present invention relates to a system and a method for updating data models. Input data received from a data source and/or prediction data obtained from a data model is reduced based on baseline reference data to obtain a plurality of representative points. The plurality of representative points are clustered to generate a plurality of clusters. An outlier cluster is detected from the plurality of clusters based on a maximum distance of the plurality of clusters from a highest density cluster and/or comparison of quantity and values of the plurality of representative points with predefined rules. Data drift is identified based on changes in densities of the plurality of clusters. The data model is updated using information corresponding to the outlier cluster and the data drift.