| 基于数据挖掘的大学生网络购物行为研究 |
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| 引用本文： | 张晓芳. 基于数据挖掘的大学生网络购物行为研究[J]. 科技和产业, 2017, 0(3): 115-118 |
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| 作者姓名： | 张晓芳 |
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| 作者单位： | 福州理工学院， 福州 350014 |
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| 摘 要： | 以福州高校大学生为调查对象，研究大学生网络购物的行为特征，采用数据挖掘中的聚类和关联进行实证分析，得出网络购物年限、购买频数、购买金额、信誉度等之间的关系，最后提出应该针对90后大学生进行精准营销、加强网络购物的安全诚信体系、社会各阶层应引导大学生培养理性网购行为等方面的建议。
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| 关 键 词： | 大学生；网络购物；数据挖掘；对策建议 |
Research on College Students'' Online Shopping Behavior Based on Data Mining |
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| Abstract: | College students in Fuzhou as research object, research on behavior characteristics of college students online shopping, analyzes the clustering and correlation of data mining, the online shopping experience, purchase frequency and purchase amount, the relationship between reputation, finally should needle of precision marketing, strengthen the safety and integrity of the system, the network shopping classes the society should guide students to cultivate rational online shopping behavior and other aspects of the proposal of the post-90s College students. |
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| Keywords: | college students online shopping data mining countermeasures and suggestions |
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