Invention Grant
- Patent Title: Self-learning log classification system
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Application No.: US15467785Application Date: 2017-03-23
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Publication No.: US09818067B2Publication Date: 2017-11-14
- Inventor: Abhilash Alexander Miranda , Laura Alvarez , Medb Corcoran , Edward Burgin , Kristine Marie Renker , Kris Timmermans , Kimberly De Maeseneer , Amaury Reychler , Shinichiro Shuda , Robert Willems , Laura O'Malley , Urvesh Bhowan , Pedro Sacristan
- Applicant: Accenture Global Solutions Limited
- Applicant Address: IE Dublin
- Assignee: Accenture Global Solutions Limited
- Current Assignee: Accenture Global Solutions Limited
- Current Assignee Address: IE Dublin
- Agency: Brinks Gilson & Lione
- Main IPC: G06N99/00
- IPC: G06N99/00 ; G06F17/30

Abstract:
A self-learning system for categorizing log entries 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 of the categorical 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 categorical identifiers representing the metafields. A combination classifier may form a weighted classification set and select a categorical identifier as being representative of the datafield based on the weighted classification set. A categorical controller may identify new categories based on an analysis of the context metrics of the log entry.
Public/Granted literature
- US20170278015A1 SELF-LEARNING LOG CLASSIFICATION SYSTEM Public/Granted day:2017-09-28
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