基于数据挖掘的大学生消费行为数据聚类统计研究

Research on Clustering Statistics of College Students'Consumption Behavior Data Based on Data Mining

为精准统计大学生消费行为,并分析环境因素对学生消费能力的影响,基于数据挖掘方法聚类统计大学生消费行为数据。按照数据挖掘原则,提取数据簇中心,挖掘数据并进行数据集转换。确定大学生的主要消费方式,联合采集到的数据样本,求解聚类参数与统计学向量。实验结果表明,家庭环境是影响大学生消费能力的主要因素,大多数学生在商品价格不超过个人经济负担能力的情况下,能够进行理性消费。

In order to accurately calculate the consumption behavior of college students and analyze the influence of environmental factors on students'consumption ability,clustering statistics of college students'consumption behavior data were carried out based on data mining methods.According to the principle of data mining,the data cluster center is extracted,the data is mined and the data set is transformed.The main consumption patterns of college students are determined,and the clustering parameters and statistical vectors are solved by combining the collected data samples.The experimental results show that the family environment is the main factor affecting the consumption ability of college students,and most students can rationally consume when the price of goods does not exceed their financial affordability.