Detecting anomalies in physical access event streams by computing probability density functions and cumulative probability density functions for current and future events using plurality of small scale machine learning models and historical context of events obtained from stored event stream history via transformations of the history into a time series of event counts or via augmenting the event stream records with delay/lag information
Номер патента: US20230083443A1
Опубликовано: 16-03-2023
Автор(ы): Catherine Baird, Daniel GREENE, Dhamanjit Sehdev, Evgeny Saveliev, Manuel Francisco Perez Gonzalez
Принадлежит: Individual
Получить PDF файл: Открыть в новом окне
Опубликовано: 16-03-2023
Автор(ы): Catherine Baird, Daniel GREENE, Dhamanjit Sehdev, Evgeny Saveliev, Manuel Francisco Perez Gonzalez
Принадлежит: Individual
Получить PDF файл: Открыть в новом окне
System and method for explaining actions taken in real-time on event stream using nlg
Номер патента: US20220092444A1. Автор: Vivek Mishra,Romil Shah,Dhwanil Shah. Владелец: VPHRASE ANALYTICS PVT. LTD.. Дата публикации: 2022-03-24.