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An Approach Mining Cyclic Association Rules in E-Commerce

机译:一种在电子商务中挖掘循环关联规则的方法

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摘要

In today's era, there exists a neck-to-neck competition between all the commercial organizations through E-Commerce to increase their sales and earn more profit. An organization can invest only on the group of products which are frequently purchased by its customers. So, it is a crucial data mining problem which can be a backbone to solve this problem for executives. This kind of problem lies under time pattern mining domain in which we have to find the association rules which occurs frequently in database. In this paper, we suggests using data mining as a technique to support sales in E-Commerce by using cyclic pattern mining for the scanning of item sets.
机译:在当今时代,所有商业组织之间都通过电子商务存在着并驾齐驱的竞争,以增加其销售额并获得更多利润。组织只能对客户经常购买的产品组进行投资。因此,这是一个至关重要的数据挖掘问题,可以成为高管解决此问题的基础。这种问题属于时间模式挖掘领域,在该领域中,我们必须找到数据库中频繁发生的关联规则。在本文中,我们建议使用数据挖掘作为一种技术,通过使用循环模式挖掘来扫描项目集来支持电子商务中的销售。

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