摘要
拟对各种钢材的品种规格的价格变化之间相关性的分析,运用数据挖掘理论的聚类分析方法,挖掘各种价格指数之间的相关性参数,为预测和分析钢材市场的价格变化提供一种行之有效的方法,提高预测的准确度,预防钢材销售因为价格变化,陷入恶性竞争,提高全行业抵抗来自国内外各种不利因素的风险的能力。
The paper undertakes the relativity analysis of price variables of steel products of different varieties and sizes. Based on the cluster analysis in the data mining theory, the paper mines the relativity parameters among price indices to provide a feasible method which may predict and analyze the price change in the steel product market. The method will also help improve the precision of estimation, prevent the sales of steel products from involvement in the bad competition due to fluctuation of prices, and finally enhance the steel industry＇s risk management ability to fight against all negative factors home and abroad.
出处
《苏州科技学院学报（工程技术版）》
CAS
2007年第4期86-90,共5页
Journal of Suzhou University of Science and Technology （Engineering and Technology）
关键词
数据挖掘
聚类分析方法
钢铁价格走势
data mining
cluster analysis
trend of prices of steel products
