Nova Patents
US20180032905A1

Adaptive Anomaly Grouping

Claim Score by NHIP

Read claim 8, the broadest

Abstract

In one aspect, a machine learning system for performing anomaly grouping is disclosed. The machine learning system includes a processor; a memory; and one or more modules stored in the memory and executable by a processor to perform operations including: receive stack traces associated with corresponding anomaly events; automatically generate initial rules for grouping the anomaly events responsive to the received stack traces; apply the generated initial rules to the anomaly events; receive additional stack traces, user input, or both; update the initial rules based on the received additional stack traces, user input, or both; organize the anomaly events corresponding to the received stack traces and additional stack traces into one or more groups of anomaly events using the updated rules; and provide a user interface to display the one or more groups of anomaly events.

US20180032905A1, drawing sheet 1
Sheet 1 of 10

Term

Projected expiry 29 July 2036.

  1. Priority and filed
  2. Published
  3. Today
  4. Projected expiry

20 claims: 3 independent, 17 dependent

  1. 1
    A machine learning system for performing anomaly grouping, the machine learning system including:a processor;a memory;andone or more modules stored in the memory and executable by a processor to perform operations including: receive stack traces associated with corresponding anomaly events;automatically generate initial rules for grouping the anomaly events responsive to the received stack traces;apply the generated initial rules to the anomaly events;receive additional stack traces, user input, or both;update the initial rules based on the received additional stack traces, user input, or both;organize the anomaly events corresponding to the received stack traces and additional stack traces into one or more groups of anomaly events using the updated rules;and provide a user interface to display the one or more groups of anomaly events.
  2. 8
    Broadest claimClaim Score 60, broad(NHIP)A method for performing machine learned anomaly grouping, the method including:receiving stack traces associated with corresponding anomaly events;automatically generating initial rules for grouping the anomaly events responsive to the received stack traces;applying the generated initial rules to the anomaly events;receiving additional stack traces, user input, or both;updating the initial rules based on the received additional stack traces, user input, or both;organizing the anomaly events corresponding to the received stack traces and additional stack traces into one or more groups of anomaly events using the updated rules;andproviding a user interface to display the one or more groups of anomaly events.
  3. 15
    A non-transitory computer readable medium embodying instructions when executed by a processor to cause operations to be performed including:receiving stack traces associated with corresponding anomaly events;automatically generating initial rules for grouping the anomaly events responsive to the received stack traces;applying the generated initial rules to the anomaly events;receiving additional stack traces, user input, or both;updating the initial rules based on the received additional stack traces, user input, or both;organizing the anomaly events corresponding to the received stack traces and additional stack traces into one or more groups of anomaly events using the updated rules;andproviding a user interface to display the one or more groups of anomaly events.
Independent claims3