摘要
商用车市场竞争激烈,客户需求的变化往往决定了企业的市场地位和发展方向。提出了一种基于数据挖掘技术的商用车客户需求分析方法,通过对客户数据进行处理和分析,挖掘出隐藏在数据中的客户需求特征,并建立客户需求模型,为企业提供客户需求分析的决策依据。首先介绍了商用车客户需求分析的重要性及现状,然后详细介绍了数据挖掘技术在客户需求分析中的应用,包括数据预处理、数据挖掘算法选择和客户需求模型建立等环节。通过试验数据的处理和分析,建立了商用车客户需求模型,并对模型进行了验证和优化。试验结果表明,提出的商用车客户需求分析方法可以准确地挖掘客户需求特征,为企业提供了更加客观、科学的决策依据。该方法可以广泛应用于商用车市场的客户需求分析和产品设计中。
The fierce competition in the commercial vehicle market is often determined by the changing customer demands,which in turn determines the market position and development direction of the enterprise.This paper proposes a commercial vehicle customer demand analysis method based on data mining technologies.By processing and analyzing customer data,the implicit customer demand characteristics are mined,a customer demand model is established to provide decision-making basis for enterprise customer demand analysis.This paper first introduces the importance and status quo of commercial vehicle customer demand analysis,then details the application of data mining technologies in customer demand analysis,including data preprocessing,data mining algorithm selection and customer demand model establishment.By processing and analyzing experimental data,this paper establishes a commercial vehicle customer demand model,verifies and optimizes the model.The experimental results show that the commercial vehicle customer demand analysis method proposed in this paper can accurately mine customer demand characteristics and provide more objective and scientific decision-making basis for enterprises.This method can be widely used in customer demand analysis and product design in the commercial vehicle market.
作者
张璐
高雪
毛何灵
Zhang Lu;Gao Xue;Mao Heling(China Auto Information Technology(Tianjin)Co.,Ltd.,Tianjin 300300)
出处
《汽车文摘》
2023年第12期34-40,共7页
Automotive Digest
关键词
商用车
数据挖掘
需求模型
Commercial vehicle
Data mining
Demand model
