摘要
采用传统服务模式缺少对全局控制和子任务两方面数据挖掘的分析,导致服务效果较差,提出了一种云计算环境下的数据挖掘服务模式研究.分析数据挖掘服务模式结构,设计服务执行流程,并对数据资源获取、数据挖掘服务执行和资源释放具体内容进行说明.融合云计算技术,构造云计算平台,在该平台下设计全局控制端和子任务端数据挖掘流程,计算关联规则置信度,实现云计算环境下数据挖掘服务模式的研究.实验研究结果表明,该服务模式可改善传统服务效果差的问题,为数据挖掘服务模式商业化提供可能.
The traditional service mode of data mining is short in analysis of two aspects, global control and sub- task, which results in poor service effect. A research on data mining service mode in cloud computing environment is proposed. The structure of data mining service mode was analyzed, the service execution flow was designed, and the specific content of data resource acquisition, data mining service execution and resource release is explained. The cloud computing technology was fused, and the cloud computing platform was constructed. Under this platform, the global control end and the sub task end data mining process were designed. The confidence of the association rules was calculated, and the data mining service mode under the cloud computing environment was studied. The experimental results show that the service mode can improve the poor effect of traditional services, and provide a possibility for commercialization of data mining service mode.
作者
杨磊
YANG Lei(Anhui University of Finance and Economics,Bengbu 233000,China)
出处
《内蒙古民族大学学报（自然科学版）》
2018年第5期383-389,共7页
Journal of Inner Mongolia Minzu University：Natural Sciences
基金
安徽省高等学校重点科研项目(1708085M25)
关键词
云计算
数据
挖掘服务
模式
全局控制
子任务
Cloud computing
Data
Mining services
Mode
Global control
Sub tasks
作者简介
杨磊,安徽财经大学助理实验师.
