大数据崛起与数据挖掘探析
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摘要
大数据指的是数据量较大且数据结构复杂的数据集,其可以用来分析社会市场的发展趋势、企业的决策、商业管理模式、个人行为方式等,大数据的出现使人类的生活和工作方式发生了巨大的改变。大数据之所以能对人们的生活和工作产生重要的影响,是因为人们能够挖掘出各项活动和工作流程数据之间的联系和变化规律,利用数据规律,能快速和正确地判断出其未来的发展趋势,从而作出正确的决策,因此,要提高大数据的利用效率,需不断提升大数据的挖掘技术。笔者主要探究了大数据挖掘和数据挖掘技术之间的联系。
Big data refers to the data set with large data volume and complicated data structure. It can be used to analyze the development trend of social market, enterprise decision-making, business management mode and individual behavior mode. Therefore, the emergence of big data Human life and work has undergone tremendous changes. Big data has an important impact on people's lives and work because people can dig out the links and changes between the activities and the workflow data, and use the laws of data to determine quickly and correctly the future development trend, so as to make the right decision. So in order to improve the efficiency of big data, it needs to continuously improve the mining of big data technology. The author mainly explores the relationship between big data mining and data mining technology.
Big data refers to the data set with large data volume and complicated data structure. It can be used to analyze the development trend of social market, enterprise decision-making, business management mode and individual behavior mode. Therefore, the emergence of big data Human life and work has undergone tremendous changes. Big data has an important impact on people's lives and work because people can dig out the links and changes between the activities and the workflow data, and use the laws of data to determine quickly and correctly the future development trend, so as to make the right decision. So in order to improve the efficiency of big data, it needs to continuously improve the mining of big data technology. The author mainly explores the relationship between big data mining and data mining technology.
引文
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[2]马遥.计算机数据挖掘技术在CBA联赛中的应用理论研究[D].郑州:郑州大学,2014.
[3]曹莉.刍议大数据时代的数据挖掘与精细管理[J].经营管理者,2013(18):191-192.
[4]李平荣.大数据时代的数据挖掘技术与应用[J].重庆三峡学院学报,2014(3):145-147.
[5]韩英.浅析大数据时代的数据挖掘与精细管理[J].成都航空职业技术学院学报,2013,29(4):63-71.
[6]丁岩,杨庆平,钱煜明,等.基于云计算的数据挖掘平台架构及其关键技术研究[J].中兴通讯技术,2013,19(1):53-56,60.
[7]赵倩倩,程国建,冀乾宇,等.大数据崛起与数据挖掘刍议[J].电脑知识与技术,2014(33):7831-7833.
[8]王元卓,靳小龙,程学旗,等.网络大数据:现状与展望[J].计算机学报,2013,36(6):1125-1138.