Invention Grant
- Patent Title: Application of neural nets to determine the probability of an event being causal
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Application No.: US15375958Application Date: 2016-12-12
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Publication No.: US10050910B2Publication Date: 2018-08-14
- Inventor: Philip Tee , Robert Harper
- Applicant: Moogsoft Inc.
- Applicant Address: US CA San Francisco
- Assignee: Moogsoft, Inc.
- Current Assignee: Moogsoft, Inc.
- Current Assignee Address: US CA San Francisco
- Agent Paul Davis
- Main IPC: G06F15/16
- IPC: G06F15/16 ; H04L12/58 ; H04L12/24 ; H04L29/08

Abstract:
An event clustering system has an extraction engine in communication with a managed infrastructure. A signalizer engine includes one or more of an NMF engine, a k-means clustering engine and a topology proximity engine. The signalizer engine determines one or more common characteristics or features from events, the signalizer engine using the common features of events to produce clusters of events relating to the failure or errors in the managed infrastructure. Membership in a cluster indicates a common factor of the events that is a failure or an actionable problem in the physical hardware managed infrastructure directed to supporting the flow and processing of information. The system is configured to group two or more situations, where a situation is a collection of one or more events or alerts representative of a problem in the managed infrastructure.
Public/Granted literature
- US20170250932A1 APPLICATION OF NEURAL NETS TO DETERMINETHE PROBABILITY OF AN EVENT BEING CAUSAL Public/Granted day:2017-08-31
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