Hybrid method for anomaly classification

US10387445B2 · kind B2 · utility

Assignee

• International Business Machines Corporation · US

Inventors

• Lior Limonad · Nesher, IL
• Nir Mashkif · Ein Carmel, IL
• Segev Wasserkrug · Haifa, IL
• Alexander Zadorojniy · Haifa, IL
• Sergey Zeltyn · Haifa, IL

Key dates

• Filing date: Jan 6, 2016
• Grant date: Aug 20, 2019
• Expiry date: Dec 2, 2036

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H30/40
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

A computer implemented method, a computerized system and a computer program product for anomaly classification. The computer implemented method comprises obtaining a data set, wherein the data set comprises a plurality of data points. The method further comprises filtering the data set based on an absolute distance criterion and performing anomaly classification on a test data point of the data set, wherein the anomaly classification is based on a relative density criterion. The method further comprises outputting an outcome of the anomaly classification.