基于C4.5算法决策树的数据挖掘在客户满意度分类中的应用

J. Prayoga, Zelvi Gustiana, Sabrina Aulia Rahmah
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引用次数: 0

摘要

激烈的商业竞争要求业务参与者做出反应迅速、及时的决策,以便在不确定性中生存下来。食品生意,尤其是咖啡馆,最近已经成为最受欢迎的商业类型之一。吸引大多数顾客兴趣的一个咖啡馆概念是现代的概念、友好的服务和实惠的价格。Finn Coffee是一家提供各种食物和饮料的咖啡馆,尤其是以咖啡为基础的饮料。顾客满意度定义了一个人在比较业绩时的感受。它表示顾客对其满足的需求的反应。“满意”一词本身被描述为一个人在收到价格合理、质量令人满意的优质产品后的快乐表达。本研究旨在使用C4.5算法与预定标准分析咖啡馆顾客满意度。使用C4.5对客户满意度进行分类。该算法根据顾客对咖啡馆员工/老板分发的谷歌表单的响应显示顾客满意度水平。
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Applying Data Mining to Classify Customer Satisfaction using C4.5 Algorithm Decision Tree
Tight business competition demands business actors to make responsive, timely decisions to survive the uncertainty. Food business, especially cafes, has emerged as one of the most popular business types recently.  One cafe concept that draws most customers' interest is modern concepts, friendly service, and affordable prices. Finn Coffee is one of the cafes providing a range of foods and beverages, especially coffee-based beverages. Customer satisfaction defines one's feelings when comparing performance. It denotes customer's responses to their satisfied needs. The term satisfaction itself is described as one's happy expression after receiving a quality product with affordable price and satisfying quality. The present study aimed to analyze cafe customer satisfaction using the C4.5 algorithm with predetermined criteria. Customer satisfaction was classified using C4.5. The algorithm displays the level of customer satisfaction based on the customers' response to the Google form distributed by the cafe employees/owner.
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审稿时长
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