大数据时代的数据挖掘技术与应用

合理的利用信息技术带来的相关成果,并且运用到物流领域、电力控制等多个行业,能够使信息技术在其中发挥卓越的作用。目前在信息化时代,针对大数据、AI人工智能等多项信息技术均得到广泛的关注和深入的探究。企业以及政府的管理往往依靠大量的数据资料,对于相应数据的挖掘深度和分析能力决定该数据的价值,因此需要提升数据的利用有效性,可靠性以及数据传输能力和分析的深度。应用数据挖掘技术能够使相应的管理能力和质量水平有较高的提升。基于此,梳理了大数据时代数据挖掘的相关概念,并且对具体的数据挖掘过程进行分析探究,最后对该技术相关的应用进行多方面的阐述。结果表明,科学合理地应用数据挖掘技术,可快速从海量的情报数据信息中提出隐藏的、具有价值的情报数据,促使相应的决策和管理更加高效科学。

The rational use of information technology brought about by the relevant results,and the use of logistics,power control and other industries,can make information technology play an outstanding role.At present,in the information age,many information technologies such as big data and AI artificial intelligence have received extensive attention and in-depth exploration.Enterprises and governments often rely on a large number of data,and the mining depth and analysis ability of the corresponding data determine the value of the data.Therefore,it is necessary to improve the effectiveness and reliability of data utilization,as well as the data transmission ability and analysis depth.The application of data mining technology can improve the corresponding management ability and quality level.Based on this,relevant concepts of data mining in the era of big data are sorted out,specific data mining process is analyzed and explored,and relevant applications of this technology are elaborated in various aspects.The results show that the application of data mining technology scientifically and reasonably can quickly propose the hidden and valuable intelligence data from the massive intelligence data information,and promote the corresponding decision-making and management to be more efficient and scientific.