计算机数据挖掘技术的开发及其应用  

Development and Application of Computer Data Mining Technology

作　　者：金巨波[1] 葛雷[1] 徐秀丽 JIN Ju-bo;GE Lei;XU Xiu-li(Heilongjiang University of Finance and Economics,Haerbin 150025,China)

机构地区：[1]黑龙江财经学院

出　　处：《浙江水利水电学院学报》2019年第6期68-72,共5页Journal of Zhejiang University of Water Resources and Electric Power

基　　金：黑龙江省教育教育规划重点课题(GJB1316070)

摘　　要：相较于传统数据处理,计算机挖掘技术的产生与使用可以更高效地得到数据信息,其准确性也更高,得到的结果也更全面。数据挖掘技术历经输翻译数据、预处理数据、分析数据建模三个阶段得到输出结果;大数据挖掘技术的运用,是多种算法一起结合使用后再进行数据挖掘。其可利用行、可复制性以及通用性更高。可以在行政管理、市场营销、金融分析、工作环境风险管理等方面得到充分应用,产生综合效益。Compared with traditional data processing,the generation and use of computer mining technology can obtain data information more efficiently,with higher accuracy and more comprehensive results.Data mining technology can get the output results through three stages:input and translation data,pre-processing data and analysis data modeling.Big data mining technology can be realized by a variety of algorithms together with higher availability,reproducibility and universality.It can be fully applied in administrative management,marketing,financial analysis,work environment risk management and other aspects to produce comprehensive benefits.

关 键 词：计算机 数据挖掘技术 应用 

分 类 号：TP311.12[自动化与计算机技术—计算机软件与理论]