SELECTING KEY PERFORMANCE INDICATORS FOR ANOMALY DETECTION ANALYTICS

Patent №

US 10,169,731

Granted

2019-01-01

Filed 2015

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

3

ml · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14929982

A computer program product is provided and includes a storage medium having program instructions. The program instructions are readable and executable by a processing circuit to cause the processing circuit to determine from historical data which anomaly detectors are associated with key performance indicators (KPIs), to extract descriptors of the first metric group from the KPIs to create a first feature profile thereof, to repeat the determining and the extracting with respect to historical data of second and third metric groups to create second and third feature profiles thereof, respectively, to ascertain which of the second and third feature profiles has a greater correlation to the first feature profile and to rank the second and third feature profiles based on which one has the greater correlation and compare the higher ranked one to future metrics in current or subsequent environments to determine if specific KPIs are likely to produce anomalies.

Machine learningKnowledge representationPlanningG06Q 10/06393H04L 67/06H04L 67/303H04L 67/564

AI classification

Planning1.00
Machine learning0.69
Knowledge representation0.67
AI hardware0.29
Vision0.12
Natural language0.00
Evolutionary computation0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 369370817

Assignors

BREW, ANTHONY T., GARRETT, RYAN A., MCKEOWN, ROBERT J.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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