大数据环境下的高维数据挖掘技术研究  

Research on high dimensional data mining technology oriented to large data

作　　者：田祥宏[1] 陈正宇[1] 

机构地区：[1]金陵科技学院计算机工程学院,江苏南京211169

出　　处：《自动化与仪器仪表》2016年第3期100-101,共2页Automation & Instrumentation

基　　金：国家自然科学基金项目(61375121)

摘　　要：在大数据时代的发展变化中,不仅体现了数据传输的密度低、速度快的方向,还体现了数据大、种类多的方式。在数据不断变化发展中,高维挖掘技术成为主要的研究方向。随着大数据在处理信息和分析数据方向上的改变,不论是人们在企业经营上,还是人们在生活中的应用都发挥着重要条件。所以本文对大数据发展下的高维数据挖掘技术进行讨论,从而实现数据、信息的变化和发展。in the development of large data era,not only reflects the low density of data transmission,the direction of the speed,but also reflects the large data,a variety of ways.In the continuous development of data,high dimensional mining technology has become the main research direction.With the big data in the processing of information and analysis of the direction of change,whether it is people in business,or people in the life of the application are playing an important condition.So this paper discusses the high dimensional data mining technology in the development of big data,so as to realize the change and development of data and information.

关 键 词：大数据 高维数据 挖掘技术 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]