计算机与数字工程2017，Vol.45Issue(9)：1724-1730,7.DOI:10.3969/j.issn.1672-9722.2017.09.008
基于高性能云数据挖掘的算法研究
An Algorithm Research Based on High-performance Cloud Date Mining
昂朝群 1胡炜 2胡冉1
作者信息
- 1. 海军工程大学计算机工程系 武汉 430033
- 2. 中国人民解放军91919部队 黄冈 438000
- 折叠
摘要
Abstract
This paper describes the design and implementation of a high-performance cloud to archive,analyze and mine large distributed data sets. By a cloud,an infrastructure that provides resources and/or services over the Internet. A storage cloud provides storage services,while a compute cloud provides compute services. High-performance can be reasonably intended as a in?termediate step of high-performance data mining activities over large-scale amounts of data,while still keeping unaltered the prima?ry and self-contained focus of achieving effectiveness and efficiency in these task themselves. In this paper an algorithm is proposed to mine the data from the cloud using Sector/Sphere framework and association rules,and also describe the programming paradigm supported by the Sphere compute cloud and association rules.关键词
Sphere/Sector/数据挖掘/云计算/高性能云Key words
Sphere/Sector/data mining/cloud computing/high-performance cloud分类
信息技术与安全科学引用本文复制引用
昂朝群,胡炜,胡冉..基于高性能云数据挖掘的算法研究[J].计算机与数字工程,2017,45(9):1724-1730,7.
