基于模糊聚类的电子商务用户数据挖掘研究
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摘要
随着互联网经济产业发展规模的突飞猛进,电子商务呈现着爆炸式发展态势。而电子商务用户数据也开始暴增,这些由用户创造的数据远超出了当前人力处理的范围。因此,研究了将模糊聚类算法应用于电子商务用户数据的挖掘处理中,通过遗传算法改进的模糊C均值聚类,处理庞大的电子商务用户数据,挖掘电子商务核心资源的商业价值,从而实现精准营销。
development, and the user data of e-commerce is also increasing sharply. These data created by users are far beyond the scope of current human resources. This paper focuses on how to apply the fuzzy clustering algorithm to the mining and processing of e-commerce user data. Through the improved fuzzy C-means clustering based on genetic algorithm, the huge e-commerce user data are processed, and the commercial value of e-commerce core resources is excavated, so as to achieve precision marketing.
development, and the user data of e-commerce is also increasing sharply. These data created by users are far beyond the scope of current human resources. This paper focuses on how to apply the fuzzy clustering algorithm to the mining and processing of e-commerce user data. Through the improved fuzzy C-means clustering based on genetic algorithm, the huge e-commerce user data are processed, and the commercial value of e-commerce core resources is excavated, so as to achieve precision marketing.
引文
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[2]李霏.Web数据挖掘技术在电子商务中的应用价值探析[J].电子技术与软件工程,2016(2):198
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[4]张永库,尹灵雪,孙劲光.基于改进的遗传算法的模糊聚类算法[J].智能系统学报,2015,10(4):627-635.
[5]刘芬.计算机数据挖掘技术的开发及其应用探究[J].现代工业经济和信息化,2018,162(6):49-50.
[2]李霏.Web数据挖掘技术在电子商务中的应用价值探析[J].电子技术与软件工程,2016(2):198
[3]高新波.模糊聚类分析及其应用[M].西安:西安电子科技大学出版社,2004:11.
[4]张永库,尹灵雪,孙劲光.基于改进的遗传算法的模糊聚类算法[J].智能系统学报,2015,10(4):627-635.
[5]刘芬.计算机数据挖掘技术的开发及其应用探究[J].现代工业经济和信息化,2018,162(6):49-50.