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A Case Study on the Data Mining Based on E-Commerce Customers' Transaction Database

机译:基于电子商务客户交易数据库的数据挖掘案例研究

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摘要

The modeling of SQL Association Rules is based on a considerable amount of database. The SQL Association Rules can be applied to analyze the customers' transaction information in marketing. Based on the case of online campus supermarket, analyzes the steps and researching methods of modeling for SQL Association Rules, analyzes the inter correlation of trading period of online clients' transaction database, quantize the connection among customers' transaction. It has a great function of proposing marketing suggestions on stimulating online marketing strategies, improving websites and bettering serving quality.
机译:SQL关联规则的建模基于大量数据库。 SQL关联规则可用于分析市场营销中客户的交易信息。以在线校园超市为例,分析了SQL关联规则建模的步骤和研究方法,分析了在线客户交易数据库交易周期的相互关系,量化了客户交易之间的联系。它具有很大的功能,可以提出营销建议,以刺激在线营销策略,改善网站并提高服务质量。

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