计算机应用与软件2024，Vol.41Issue(4)：344-349,6.DOI:10.3969/j.issn.1000-386x.2024.04.051
基于大数据融合的应急物资可追溯信息挖掘模型构建
CONSTRUCTION OF TRACEABLE INFORMATION MINING MODEL FOR EMERGENCY MATERIALS BASED ON BIG DATA FUSION
摘要
Abstract
The traditional emergency material information method is affected by the type and source of emergency material information,which makes the tracing effect poor.Therefore,a traceability information mining model of emergency materials based on big data fusion is constructed.This paper selected Bakos Noel paradigm to describe the traceability information of emergency supplies,used big data fusion to match the traceability results of emergency materials information,designed a three-level progressive mode through Dasarathy information fusion model,and established a mining model using EM algorithm to realize the effective mining of traceable information of emergency supplies.The experimental results show that the model can effectively mine the traceability information of emergency materials,and the mining accuracy is higher than 99％in different situations,and has high real-time performance.关键词
大数据融合/应急物资/可追溯信息/挖掘模型Key words
Big data fusion/Emergency supplies/Traceable information/Mining model分类
信息技术与安全科学引用本文复制引用
刘佳,陈雪莲,连鸿波..基于大数据融合的应急物资可追溯信息挖掘模型构建[J].计算机应用与软件,2024,41(4):344-349,6.基金项目
国网江西省电力有限公司重点项目(711835180059). （711835180059）
