利用网络可视化对市场篮子数据进行探索性分析

Henrique L. S. Gino, D. S. Pedro, Jean R. Ponciano, Claudio D. G. Linhares, A. J. Traina
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引用次数: 0

摘要

市场篮子分析是一种强大的技术,可用于了解客户行为,并在此基础上优化业务战略。利用可视化技术进行基于市场的长期分析,可以深入了解市场趋势和关系,简化复杂数据,并有效传达见解,从而帮助企业做出更明智的决策。本文利用的数据集侧重于用户的收入和市场购买的时间方面。我们将该数据集建模为三个不同的时间网络,并进行了探索性评估,以识别数据中的模式和异常。更具体地说,我们确定了相关产品组,表明了主题购买,并评估了收入等人口统计因素对客户消费的影响。
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Exploratory Analysis on Market Basket Data using Network Visualization
Market basket analysis is a powerful technique for understanding customer behavior and optimizing business strategies based on that understanding. Market-based analysis over time using visualization techniques can provide insights into market trends and relations, simplify complex data, and communicate insights effectively, which can help organizations make more informed decisions. This paper leverages a dataset focused on the users’ incomes and temporal aspects of market purchases. We modeled this dataset as three distinct temporal networks and performed an exploratory evaluation identifying patterns and anomalies in the data. More specifically, we identified groups of related products, indicating thematic purchases, and evaluated the impact of demographic factors, such as income, on customer spending.
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