METHOD AND SYSTEM FOR LOG BASED ISSUE PREDICTION USING SVM+RNN ARTIFICIAL INTELLIGENCE MODEL ON CUSTOMER-PREMISES EQUIPMENT

摘要

A method, a set-top box, and a non-transitory computer readable medium for log based issue prediction. The method includes receiving, on a processing server, system log files from a customer-premises equipment, the system log files containing events that are logged by an operating system of the customer-premises equipment; parsing, by the processing server, the events of the system log files to processes and mapping the processes to one or more components of the customer-premises equipment; extracting, by the processing server, features from the mapped processes of the one or more components of the customer-premises equipment; classifying, by the processing server, the extracted features with a first machine learning algorithm; and predicting, by the processing server, anomalies in one or more components of the customer-premises equipment with a second machine learning algorithm using the classified features from the first machine learning algorithm.