电力信息与通信技术2025，Vol.23Issue(6)：48-57,10.DOI:10.16543/j.2095-641x.electric.power.ict.2025.06.07
一种面向复杂业务场景的多源异构数据分类分级方法研究
Research on a Classification and Grading Method for Multi Source Heterogeneous Shared Data for Complex Business Scenarios
摘要
Abstract
Data classification and grading are the foundation for developing effective data security strategies and measures.Currently,research on related methods mainly applies to homogeneous data,and is subject to subjective factors that affect the accuracy of classification and grading.Faced with increasingly complex,diverse,and open business scenarios,this paper proposes a multi-source heterogeneous data classification and grading method based on decision tree algorithm and fuzzy control algorithm.The method first uses decision tree algorithm and linear classification method to preliminarily classify the source data,and constructs a decision tree model to accurately classify the data into different categories,laying the foundation for subsequent data grading processing;Then,based on the results of previous data processing,further fuzzy control algorithms are used to classify each data category in more detail according to the differences in the requirements of each security element of the data.Finally,the corresponding data security strategy based on the security requirements of different levels of data is selected.The experimental results show that this method has good accuracy and efficiency in handling classification and grading problems of multi-source heterogeneous data,making it effective in meeting the classification and grading requirements of various complex business scenarios.关键词
数据安全/数据分类/数据分级/决策树/模糊控制Key words
data security/data classification/data grading/decision tree/fuzzy control分类
计算机与自动化引用本文复制引用
李新家,张崇超,马云龙,陈世晖,严永辉,李燕超..一种面向复杂业务场景的多源异构数据分类分级方法研究[J].电力信息与通信技术,2025,23(6):48-57,10.基金项目
国家电网有限公司总部科技项目资助"电力计量数据高可用及跨系统流通溯源关键技术研究与应用"(5700-202318300A-1-1-ZN). （5700-202318300A-1-1-ZN）
