Utilize Fuzzy Data Mining to Find the Living Pattern of Customers in Hotels

Xu Xu, Zhongfu Zhang, Zhihong Feng, Yansong Li
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引用次数: 2

Abstract

The different criteria are usually used in real data mining, in our study of finding the living pattern of customers in hotels, we adopt fuzzy data mining that combine apriori algorithm with different min-support and min-confidence and fuzzy set theory to copy with the criteria the yielded rules are not only useful to the hotel decision-makers, but also to those who want to do the business. In this paper the approach and steps are listed, we can see the method is scientific and meaningful from the actual example, so the approach can be further used in other facets.
利用模糊数据挖掘挖掘酒店顾客生活模式
在实际的数据挖掘中,通常会用到不同的准则,在寻找酒店顾客生活模式的研究中,我们采用模糊数据挖掘,将不同最小支持度和最小置信度的先验算法与模糊集理论相结合,将得到的规则与准则进行复制,不仅对酒店决策者有用,而且对想要做生意的人也有用。文中列举了方法和步骤,通过实例说明了该方法的科学性和意义,因此该方法可以进一步应用于其他方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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