公开(公告)号：US20180374104A1

公开(公告)日：2018-12-27

申请号：US15633401

申请日：2017-06-26

Applicant: SAP SE

Inventor： Robert Meusel ,  Atreju Florian Tauschinsky ,  Christine Preisach

IPC: G06Q30/02 ,  G05B13/02

Abstract: Methods, systems, and computer-readable storage media for automatically providing a predictive model for an asset made up of multiple sub-assets with actions including receiving asset data including data values associated with the asset and at least one of sub-asset of the multiple assets, providing, by the one or more processors, a set of features based on the asset data, and executing an iterative feature selection and supervised learning process, including, for each iteration: selecting a sub-set of features from the set of features, performing supervised learning over the sub-set of features to provide a predictive model, and determining an accuracy of the predictive model, the iterations are performed until the accuracy of the predictive model exceeds a threshold accuracy.