基于数据挖掘的住房状况与用户相关因素分析
The Correlate Analysis of Housing Conditions and the User Related Factors Based on Data Mining
摘要: 决策树是数据挖掘的一种重要手段，在数据挖掘知识发现中有广泛的应用。本文在SQL Server Business Intelligence Development Studio平台上，通过决策树模型绘制了决策树并且得出了关于预测项住房状况的影响因子以及影响程度的强弱，最后对数据挖掘结果进行分析与预测且得到了比较理想的预测与结论。
Abstract: Decision tree is an important means of data mining. It has a wide range of applications in data mining knowledge discovery. The paper uses SQL Server Business Intelligence Development Studio platform. Using decision tree data model, we can draw decision tree. At last, we analyse and predict the results, so that we draw a more ideal conclusion.
文章引用：孙健, 周云龙. 基于数据挖掘的住房状况与用户相关因素分析[J]. 计算机科学与应用, 2013, 3(1): 80-84. https://dx.doi.org/10.12677/CSA.2013.31014

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