摘要
利用大数据分析精准营销,进而精准合理地分配市场资源,提升客户的满意度,能够有效地提升营销额。研究基于关联规则算法构建汽车市场数据挖掘模型,从而实现汽车市场的精确营销。研究结果表明:Apriori汽车市场数据挖掘模型对样本数据的属性维度分类正确率为97.1%,远高于其他模型。以上结果证明:该模型有较为优秀的性能,基于该模型能够有效地进行汽车市场的精确营销。
the competition in the automobile industry is becoming more and more fierce.Using big data analysis to carry out precision marketing,so as to accurately and reasonably allocate market resources,improve customer satisfaction,and effectively increase the marketing amount.This paper studies the construction of automobile market data mining model based on association rule algorithm,so as to realize the accurate marketing of automobile market.The results show that the accuracy of Apriori automobile market data mining model in classifying the attribute dimensions of sample data is 97.1%,which is much higher than other models.The above results show that the model has excellent performance,and the accurate marketing of automobile market can be effectively carried out based on the model.
作者
李洋
LI Yang(Department of Management Engineering,City University of Hefei,Hefei 230071,Anhui,China)
出处
《贵阳学院学报（自然科学版）》
2022年第1期30-34,共5页
Journal of Guiyang University：Natural Sciences
基金
安徽省省级重点教研项目“情景模拟教学法在销售管理实务教学中的应用”(项目编号:2020jyxm036)。
关键词
关联规则算法
精确营销
数据挖掘
汽车市场
Association rule algorithm
Precision marketing
Data mining
Automobile market
