| 决策树在调查数据中的应用 |
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| 引用本文： | 徐巍,谭德荣,张业鹏. 决策树在调查数据中的应用[J]. 山东理工大学学报：自然科学版, 2005, 19(4): 23-26 |
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| 作者姓名： | 徐巍 谭德荣 张业鹏 |
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| 作者单位： | 湖北工业大学,机械学院,湖北,武汉,430068;山东理工大学,交通与车辆工程学院,山东,淄博,255049 |
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| 摘 要： | 随着数据量的急剧增长，根据数据分布寻找规律，并据此进行分析决策，往往需要借助相应的数据挖掘工具，通过训练样例对其参数进行调整和逼近，以达到较好的预测及分析效果，为决策提供支持．利用机器学习中决策树的方法对一组网上民众调查数据进行了学习和预测，并对决策树进行了改进和效果分析．
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| 关 键 词： | 数据挖掘 决策树 调查数据 过拟合 |
| 文章编号： | 1672-6197(2005)04-0023-04 |
| 收稿时间： | 2005-03-25 |
| 修稿时间： | 2005-03-25 |
Application of decision tree in investigative data |
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| XU Wei,TAN De-rong,ZHANG Ye-peng. Application of decision tree in investigative data[J]. Journal of Shandong University of Technology:Science and Technology, 2005, 19(4): 23-26 |
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| Authors: | XU Wei TAN De-rong ZHANG Ye-peng |
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| Affiliation: | XU Wei~1,TAN De-rong~2,ZHANG Ye-peng~1 |
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| Abstract: | As data quantity increases rapidly, data mining tool is used to find law from data distribution, do decision through analysis of the law, adjust and approach the parameters of training examples, attain preferable effect of forecast and analysis, and provide support for the decision. Using decision tree to estimate the on-line people's investigative data is discussed in this paper, and the effect of Improvement ofdecision tree is analyzed. |
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| Keywords: | data mining decision tree investigative data overfitting |
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