MUMBAI, India, June 24 -- Intellectual Property India has published a patent application (202411092181 A) filed by Hewlett Packard Enterprise Development Lp on November 26, 2024, for Anomaly Detection In Network Function Observability.
Inventors include Dutta, Biswadeb; Kamal, Zishan; and De Diego Merino, Raul.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: Systems and methods are provided for performing anomaly detection. An example method includes, in a training phase, performing time series decomposition on training time series data to extract residuals of the training time series data, the residuals including a plurality of data points of the training time series data, using unsupervised anomaly detection models, identifying and labeling anomalous data points from among the plurality of data points contained in the residuals, based on outputs from the ensemble of unsupervised models including the labeled anomalous data points, obtaining a combined output indicating the labeled anomalous data points, and, using the combined output, training supervised anomaly detection models to detect anomalies in inference time series data In an inference phase, the method includes, using the trained ensemble of supervised anomaly detection models, on real-time, inference time series data. Figure 2A
Disclaimer: Curated by HT Syndication.
