摘要
数据挖掘和知识发现是由机器学习、人工智能和数据库相互关联而产生的。当下,各种各样的大型数据库的应用和数据的大量存储,造成了数据在提取和交互时非常困难,而且使用的效率也非常低。在这样的环境下,数据挖掘显得越来越重要。基于此,主要对数据挖掘技术当前的情况、使用方法以及数据挖掘在当前的应用进行了研究。
Data mining and knowledge discovery are generated by machine learning,artificial intelligence,and database interrelationships.At present,a wide variety of large database references and large amounts of data storage,resulting in data extraction and interaction is very difficult,and the use of the efficiency is very low.In such an environment,data mining is becoming more and more important.Based on this,this paper mainly studies the current situation,the use method and the data mining of data mining technology in the current application.
作者
郑彤
Zheng Tong(Anhui Jiyuan Software Co.,Ltd.,Hefei Anhui 230000,China)
出处
《信息与电脑》
2017年第4期148-150,共3页
Information & Computer
关键词
数据挖掘
知识获取
数据库
data mining
knowledge acquisition
database