云计算环境下海量数据挖掘的优化方法研究  

Research on Optimization Method of Massive Data Mining in Cloud Computing Environment

作　　者：张捷 封俊红 朱晓姝 ZHANG Jie;FENG Jun-hong;ZHU Xiao-shu(College of Computer Science ＆ Engineering, Guangxi Universities Key Lab of Complex System Optimization and Big Data Processing, Yulin Normal University, Yulin , Guangxi 53700)

机构地区：[1]玉林师范学院计算机科学与工程学院 [2]广西高校复杂系统优化与大数据处理重点实验室,广西玉林537000

出　　处：《玉林师范学院学报》2017年第5期146-151,共6页Journal of Yulin Normal University

基　　金：广西高校科学技术研究项目重点项目(KY2015ZD099);广西高等教育本科教学改革工程项目(2016JGB342)

摘　　要：通过对云计算基本框架的分析,探索对云计算环境下的海量数据挖掘算法的可能性和可行性,提出了具体的方法和算法框架,运用智能优化算法的思想对数据挖掘算法进行优化,设计出云计算环境下数据挖掘算法的智能优化模型,研究云计算环境下对海量文本文档挖掘的优化方法,提出一种云计算环境下文本挖掘方法的优化模型,本文通过对云计算环境下海量数据和海量文本文档挖掘算法的优化进行探讨,提出的优化模型对具体的算法设计具有很好的指导作用.Through analyzing the basic framework of cloud computing, we explore the possibility and feasibility of massive data mining algorithm in cloud computing environment, and put forward the concrete method and algorithm framework. The idea of intelligent optimization algorithm is applied to optimize data mining algorithm, and design the intelligent optimization model for data mining algorithm in cloud computing environment. By researching the optimization method for massive text documents in cloud computing environment, we present the optimization model for text mining method in cloud computing environment. In this paper, through discussing the optimization methods of the mining algorithms for the massive data and massive text documents in cloud computing environment, the proposed optimization models have very good guidance on the concrete algorithm design.

关 键 词：云计算 海量数据 数据挖掘 智能优化 海量文本文档 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]