Accenture Global Solutions Limited

Vivek Nadiminti

Shinichiro Shuda

Christopher Donnelly

Aaron L Shifrin

Todd Bremer

Barton FitzGerald Keery

Kanwar Inder Singh

Praveen Kishorepuria

Harshavardhan Basantkumar Kar

A self-learning system for analytical attribute and clustering segmentation may be provided. A text classifier may identify a log description of a log entry in response to text of the log description being associated with indicators of a word model. A datafield classifier may generate a datafield metrics including an accuracy value of the attribute identifiers representing the datafield. A metafield classifier may generate a context metrics for the context of the log entry, the context metrics including an accuracy value of the attribute identifiers representing the metafields. A combination classifier may form a weighted classification set and select an attribute identifier as being representative of the datafield based on the weighted classification set. The combination classifier may further evaluate an attribute importance value of each attribute identifier, and select an attribute identifier having a top attribute importance value.

Self-learning analytical attribute and clustering segmentation system

Growing community of inventors

Chicago, IL, United States of America

Vivek Nadiminti