Data mining application in designing popular and optimal travel packages

B. Al-Salim
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引用次数: 2

Abstract

We developed a strategy to design a travel package with the most popular and appropriate elements for the traveler; at the same time, this strategy minimizes the operation and processing costs of the travel agency. Association rules as a data mining technique is implemented to develop this model. We rely on the available massive travel agency database to make essential decisions related to the optimality of designing the travel package. A heuristic algorithm is an approach used to solve the final model. An illustrative numerical example based on a made-up data set is also provided
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数据挖掘在流行旅游套餐设计中的应用
我们制定了一个策略,为旅行者设计一个最受欢迎和最合适的旅行套餐;同时,这种策略最大限度地降低了旅行社的运营和加工成本。将关联规则作为一种数据挖掘技术来开发该模型。我们依靠现有的大量旅行社数据库来做出与旅游套餐设计最优相关的重要决策。启发式算法是一种用于求解最终模型的方法。还提供了一个基于虚构数据集的说明性数值示例
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