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随着数据库架构技术和网络技术的发展,数据挖掘技术在电子商务中的应用也逐渐推广,尤其是Apriori算法能对频繁项集进行挖掘。本文从Web数据库中运用数据的挖掘模式、关联、预测、评估和聚类等技术手段,从中提取出可以指导煤炭营销市场策略的有用数据,分析电子商务中数据挖掘的特点,进一步描述了数据挖掘在煤炭电子商务中的应用,并最终实现了Apriori算法在煤炭电子商务中的应用。
With the development of database architecture technology and network technology, the application of data mining technology in e-commerce is also gradually promoted, especially Apriori algorithm can mine frequent itemsets. This paper uses the data mining mode, association, prediction, evaluation and clustering techniques from Web database to extract useful data that can guide the marketing strategy of coal marketing, analyze the characteristics of data mining in e-commerce, and further describe the data mining In the coal e-commerce application, and ultimately the Apriori algorithm in the application of coal e-commerce.