基于数据挖掘的移动钱包营销行为分析

2017 9th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2017-09-01 DOI:10.1109/CICN.2017.8319362

C. Alexandre, Petru Bocsanean, J. Mangana, João Santos, David Monteiro, Patrick Santos

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引用次数: 2

摘要

如今，移动钱包被广泛用于支付。然而，这些应用程序具有为消费者提供新服务的巨大潜力，例如基于消费者偏好的营销活动的呈现。本文提出了一种新的移动钱包生态系统的数据挖掘研究，其中分析了消费者的行为和偏好，以便通过他们的移动钱包创建有针对性的营销活动。使用CRISP-DM方法进行数据挖掘研究。

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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Marketing behaviors analysis in a mobile wallet solution using data mining

Nowadays, mobile wallets are widely used for payments. However, these applications have great potential to offer new services for the consumers, such as the presentation of marketing campaigns based on the consumers' preferences. On this paper is presented a data mining study for a novel mobile wallet ecosystem, where the behaviors and preferences of the consumers are analyzed in order to create targeted marketing campaigns through their mobile wallets. The CRISP-DM methodology was used to perform the data mining studies.

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2017 9th International Conference on Computational Intelligence and Communication Networks (CICN)

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