数据挖掘实用机器学习技术

Data Mining Practical Machine Learning Technology

所谓数据挖掘(Knowledge-Discovery in Databases),也叫资料探勘、数据采矿,是数据库知识发现的一个部分。它于信息时代而生,通过这一技术能将庞大而繁杂的数据转化成有用的、可辅助人类进行分析判断的信息,如今,随着经济社会的不断发展,数据挖掘技术的作用逐渐凸显出来,在商务管理、生产控制、市场判断、工程设计与科学研究等领域获得了较广泛的使用。笔者主要概述了数据挖掘,分析了数据挖掘的作用,介绍了机器学习的方法,并探讨了数据挖掘的应用。

Data mining（Knowledge-Discovery in Databases）,also called data mining and data mining,is a part of database knowledge discovery.It is born in the information age.Through this technology,it can transform large and complicated data into useful information that can help human beings to analyze and judge.Now,with the continuous development of the economy and society,the role of data mining technology is gradually highlighted,in business management,production control,market judgment,engineering design and design.Scientific research and other fields have been widely used.The author mainly summarizes data mining,analyzes the role of data mining,introduces machine learning methods,and discusses the application of data mining.