基于分布式算法的数据情报侦查研究

Research on Data Intelligence Investigation Based on Distributed Algorithm

鉴于在传统数据情报侦查中存在的问题,引入基于分布式算法的数据情报侦查研究范式。以分布式算法数据情报侦查的内涵与属性为研究起点,提出分布式算法数据情报侦查的平台设计方案,构建分布式算法数据情报侦查的流程模型,探讨分布式算法数据情报侦查的应用方法。这不仅能够增强分布式数据挖掘的融合性和提升数据聚合运算的精确性,而且还能够减轻数据情报侦查顶层设计的负担和降低数据频繁项目关联聚类子集的缺失现象,更加符合构建数据情报侦查关联规则的正向同配属性原则,从而实现分布式算法数据情报侦查的应然价值效果。

In view of the prominent problems in traditional data intelligence investigation,a research paradigm based on distributed algorithm is introduced.Based on the connotation and attributes of distributed algorithm data intelligence investigation,this paper proposes the design scheme of distributed algorithm data intelligence investiga-tion platform,builds the flow model of distributed algorithm data intelligence investigation,and discusses the application method of such investigation.This can not only enhance the fusion of distributed data mining and improve the accuracy of data aggregation operation,but also reduce the burden of top-level design of data intel-ligence investigation and reduce the missing phenomenon of frequent data items association clustering subset,which is more in line with the principle of positive matching attribute for building association rules of data intelligence investigation,so as to realize the necessary value effect of data intelligence investigation based on distributed algorithm.