Public digital life scene rule model prediction and early warning method based on deep Bayesian network

• Main Authors: DONG HUI, MA HANJIE, XU YONG'EN, LI BAIRUI, LIU LIEHONG
• Format: Patent
• Language: Chinese; English
• Published: 22.06.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a public digital life scene rule model prediction and early warning method based on a deep Bayesian network. The method comprises the steps: carrying out the data analysis and extraction of multi-source heterogeneous data in some key life scenes in public digital life, generating an information and behavior part feature library, combining the information and behavior part feature library with a user digital portrait, and carrying out the prediction and early warning of a public digital life scene rule model. According to the method, a personalized rule mechanism is constructed, prediction and early warning are timely and accurately performed on different key life scenes, powerful support is provided for beforehand intervention, and the method can be applied to public safety and health early warning, mental health early warning, campus spoofing event early warning and the like. 本发明公开了一种基于深度贝叶斯网络的公共数字生活场景规则模型预测预警方法，通过对公共数字生活中的一些重点生活场景中的多源异构数据进行数据分析、提取，生成信息和行为要素特征库，将其与用户数字画像结合，构建个性化规则机制，及