| 基于分类回归树和神经网络模型的零售商品促销数据分析与探讨 |
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| 引用本文： | 徐迎迎.基于分类回归树和神经网络模型的零售商品促销数据分析与探讨[J].大众科技,2013(9):22-24. |
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| 作者姓名： | 徐迎迎 |
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| 作者单位： | 安徽财经大学管理科学与工程学院,安徽 蚌埠,233000 |
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| 摘 要： | 随着信息技术的不断发展，应用商业智能技术进行数据挖掘与分析对商家来说也越来越重要，分类回归树和神经网络算法是数据挖掘的经典算法，其广泛运用在数据分析、预测和评估等方面。文章分别运用分类回归树和神经网络算法对零售商品采取促销方案后收入变化的数据进行分析，并建立相应的模型对促销方案效果进行预测。
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| 关 键 词： | 分类回归树 神经网络 促销商品 |
Analysis and discussion on the retail sales data by using the classification and regression tree model and the neural network model |
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| Abstract: | with the development of information technology, the application of business intelligence technology of data mining and analysis for the merchants is more and more important, classification and regression tree and neural network algorithm is a classical algorithm of data mining, it is widely used in the data analysis, prediction and evaluation. This paper using classification and regression tree analysis and neural network algorithm for retail commodity take promotion plan changes in income after the data, and to establish the corresponding model to predict the effect of promotion. |
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| Keywords: | classification and regression tree neural network promotional merchandise |
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