现代电子技术2017，Vol.40Issue(13)：178-180,3.DOI:10.16652/j.issn.1004-373x.2017.13.047
云计算环境下的海量数据特定特征挖掘技术
Specific characteristic mining technology of massive data in cloud computing environment
摘要
Abstract
For the imprecise data specific information extraction in the process of traditional cloud computing,a specific characteristic mining method of massive data in cloud computing environment is presented. The matrix node difference model is used to arrange the data orderly,and avoid the imprecise extraction data caused by data confusion of the traditional method. The huge cloud data makes the data positioning imprecise. In order to eliminate the above problem,the multidimensional data posi-tioning calculation is adopted to solve the problem of imprecise positioning effectively,and extract the data information success-fully. In order to verify the effectiveness of the massive data specific characteristic mining method in cloud computing environ-ment,the contrast simulation experiment was designed. The experimental results fully prove that the method can improve the ac-curacy of the data extraction effectively.关键词
云计算/数据特定特征/特征挖掘技术/提取精度Key words
cloud computing/data specific characteristic/feature mining technology/extraction accuracy分类
信息技术与安全科学引用本文复制引用
蹇旭..云计算环境下的海量数据特定特征挖掘技术[J].现代电子技术,2017,40(13):178-180,3.基金项目
四川省教育厅重点课题:基于ARM处理器的防追尾碰撞预警系统(15ZA0339) （15ZA0339）
阿坝师范学院校级科研项目:基于SVM的主动学习策略研究(ASB13-15) （ASB13-15）
