摘要
随着社会发展,当今人类文明已经进入信息化时代。由于信息传播速度加快,大量数据信息会广泛存在于社会各个领域,因此从复杂的数据系统中找到有效数据进行预测与决策分析就具有一定的挑战性。数据挖掘技术是信息化时代进行数据分析常用的一项技术,它能够快速从海量的信息数据中挖掘出可以作为预测与决策分析依据的有效数据。数据挖掘技术具有高度的合理性和科学的严谨性,可以作为经济社会发展的技术支持。通过现阶段各个行业预测与决策分析现状,充分利用数据挖掘技术的优势可以避免产生数据浪费现象,从而提高医疗业、零售业、保险业等行业的工作效率,具有良好的应用前景。
With the development of society,the current human civilization has entered the information age.Due to the acceleration of information dissemination,a large amount of data information will widely exist in all areas of society.Therefore,it is challenging to find effective data from complex data systems for prediction and decision analysis.Data mining technology is a commonly used technology for data analysis in the information age,it can quickly dig out effective data from massive information data that can be used as the basis for prediction and decision analysis.Data mining technology has a high degree of rationality and scientific rigor,which can be used as a technical support for economic and social development.Based on the current situation of prediction and decision analysis of various industries,making full use of the advantages of data mining technology can avoid the phenomenon of data waste,so as to improve the efficiency of medical industry,retail industry,insurance industry and other industries,which has a good application prospect.
作者
贾静丽
JIA Jing-li(Anhui Wenda Institute of Information Engineering,Hefei 231201,Anhui,China)
出处
《贵阳学院学报（自然科学版）》
2023年第1期85-90,共6页
Journal of Guiyang University：Natural Sciences
基金
安徽省自然科学基金重点项目“几类泛函微分方程的稳定性研究”(项目编号:KJ2021A1175)
安徽文达信息工程学院科研基金项目“基于灰色预测模型技术的安徽粮食影响因素分析及产量预测”(项目编号:XZR2022B05)。
关键词
数据挖掘技术
预测与决策分析
应用
Data Mining Technology
Prediction and Decision Analysis
Applications
