哈尔滨商业大学学报（自然科学版）2017，Vol.33Issue(6)：723-727,5.
基于CURE聚类优化的数据挖掘算法研究
Research on data mining algorithm based on CURE clustering optimization
摘要
Abstract
This paper took massive unstructured data as the research object, and on the basis of existing clustering algorithm, from the data acquisition and preprocessing to data cluste-ring, and the personalized management of data, the whole process was analyzed.Being aim at the present situation of the large amount of computation and complexity in the process of data clustering, this paper optimized the existing CURE clustering algorithm , as much as possible improve data clustering efficiency, and provided better services for data applica-tions.Through user data in a communication enterprise changing as the analysis object, the effectiveness of data mining algorithm based on CURE clustering algorithm was proved, the results showed that CURE clustering algorithm had the availability and usefulness.关键词
数据挖掘/非结构化数据/数据聚类/CURE聚类算法Key words
data mining/unstructured data/data clustering/CURE clustering algorithm分类
信息技术与安全科学引用本文复制引用
郑志娴,吴为民,李慧敏..基于CURE聚类优化的数据挖掘算法研究[J].哈尔滨商业大学学报（自然科学版）,2017,33(6):723-727,5.基金项目
福建省教育厅科技项目( JA15657) （ JA15657）
