Invention Grant
- Patent Title: Anomaly detection in performance management
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Application No.: US15214917Application Date: 2016-07-20
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Publication No.: US10223191B2Publication Date: 2019-03-05
- Inventor: Gianluca Della Corte , Leonida Gianfagna , Stefano Proietti , Roberto Pecoraro , Antonio M. Sgro
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Tutunjian & Bitetto, P.C.
- Agent Scott Dobson
- Main IPC: G06F11/00
- IPC: G06F11/00 ; G06F11/07 ; G06F11/34

Abstract:
Methods and systems for detecting anomalous behavior include performing a principal component analysis on a plurality of key performance indicators (KPIs) to determine a set of principal axes. The KPIs are clustered in a space defined by the set of principal axes. Local and structural anomalies are determined in the clustered KPIs. The structural and local anomalies are classified based on historical information. A management action is performed based on the classified structural and local anomalies.
Public/Granted literature
- US20180024875A1 ANOMALY DETECTION IN PERFORMANCE MANAGEMENT Public/Granted day:2018-01-25
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