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玉米产业是我国重要的粮食产业,其价格变动对我国农产品整体价格变动乃至我国经济的稳定都有很大影响,故对玉米价格影响因素的研究具有重要意义。笔者选取2004—2013年玉米价格及30个相关成本因素数据,运用数据挖掘技术,对黑龙江省玉米价格成本因素进行关联规则分析,提取出影响玉米价格成本因素组合的强关联规则。结果表明:成本因素中的物质与服务费用和直接物质用量与玉米价格均具有强正向相关关系,每亩人工成本下的家庭用工天数同玉米价格呈反方向变动关系;雇工费用、雇工天数与玉米价格波动无强相关关系。研究表明将成本因素进行关联规则提取挖掘是可行的。
Corn industry is an important grain industry in our country. The price changes have great influence on the overall price changes of agricultural products in our country and even the economic stability of our country. Therefore, the research on the influencing factors of corn prices is of great significance. The author chooses maize price and 30 related cost factors data from 2004 to 2013 and uses data mining technology to analyze association rules of maize price cost in Heilongjiang Province and extract strong association rules that affect maize price cost combination. The results show that: the material cost, the direct cost and the direct use of the material have a positive and positive correlation with the price of corn, and the number of days of domestic labor per acre labor cost varies inversely with the price of corn; the number of employees, Corn price fluctuations no strong correlation. The research shows that it is feasible to extract the mining cost from the association rules.