Christopher T Lucas

US Patent:

20150135012, May 14, 2015

Filed:

Nov 7, 2014

Appl. No.:

14/536033

Inventors:

- Dublin, IE
Madan Kumar Singh - Bangalore, IN
Christopher Scott Lucas - Denver CO, US
Ravi Teja - Bangalore, IN
Sachin Sehgal - Gurgaon, IN
Mayank Kant - Bangalore, IN
Sonal Bhutani - Bangalore, IN

Assignee:

Accenture Global Services Limited - Dublin

International Classification:

G06F 11/07
G06N 5/04
G06N 99/00

US Classification:

714 26

Abstract:

In an example, network node failures may be predicted by extracting performance metrics for the network nodes from a plurality of data sources. A fail condition may be defined for the network nodes and input variables related to the fail condition for the network nodes may then be derived from the extracted performance metrics. A plurality of models may then be trained to predict the fail condition for the network nodes using a training set from the extracted performance metrics with at least one of the identified input variables. Each of the plurality of trained models may be validated using a validation set from the extracted performance metrics and may be rated according to predefined criteria. As a result, a highest rated model of the validated models may be selected to predict the fail condition for the network nodes.