摘要
随着市场竞争的日益激烈和计算机技术的迅猛发展,数据挖掘技术在煤炭贸易管理系统中的应用尤为重要。本文结合当今比较流行的数据挖掘技术,分别利用线性回归和加权一次移动平均算法对销售量进行了预测。
With the increasingly fierce market competition and the rapid development of computer technology, application of data mining technology in the coal trade management system is particularly important. In this paper, combining today＇s more popular data mining techniques, using linear regression and the weighted moving average algorithm ,sales were predicted.
出处
《价值工程》
2010年第8期123-124,共2页
Value Engineering
关键词
煤炭贸易管理系统
数据挖掘
线性回归
加权移动平均
coal trade management systems
data mining
linear regression
weighted moving average
