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Identifying changes of customer shopping patterns in retailing based on contrast sets

机译：基于对比度识别零售零售模式的变化

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摘要

Identification of customer shopping patterns changes can help managers understand customer needs better and gain the winning of competition. Based on the STUCCO algorithm, this paper presents a new algorithm to mine contrast association rules. The proposed algorithm constructs a search tree according to the characteristics of transaction data, thus the algorithm is optimized and efficiency of the algorithm is improved. Finally, the proposed algorithm is compared with the algorithm of change mining. The results show that the proposed algorithm is an effective way to identify the real changes of customer shopping patterns.
机译：识别客户购物模式的变化可以帮助管理者了解客户需求更好并获得竞争的获胜。基于灰泥算法，本文提出了一种新的矿井对比关联规则的算法。所提出的算法根据事务数据的特性构造搜索树，因此算法被优化，提高了算法的效率。最后，将所提出的算法与变化挖掘算法进行比较。结果表明，该算法是识别客户购物模式实际变化的有效方法。

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