| 基于决策树技术数据提取的应用 |
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| 引用本文： | 祝木田,于红梅,刘志杰.基于决策树技术数据提取的应用[J].山东理工大学学报,2006,20(2):77-80. |
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| 作者姓名： | 祝木田 于红梅 刘志杰 |
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| 作者单位： | 淄博职业学院信息工程系 山东淄博255049 |
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| 摘 要： | 决策树技术在人工智能中得到了广泛的应用,将大量检测样本的数据进行采集,利用决策树实现数据处理,可以提取有用数据进行数理统计,从而提高生化分析的精度和分析速度,在医用生化分析上有重要意义.
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| 关 键 词： | 连续检测法 酶促反应 决策树 数字滤波 线性回归 |
| 文章编号： | 1672-6197(2006)02-0077-04 |
| 收稿时间： | 06 20 2005 12:00AM |
| 修稿时间： | 2005年6月20日 |
Application of ata etract based on decision tree technology |
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| ZHU Mu-tian,YU Hong-mei,LIU Zhi-jie.Application of ata etract based on decision tree technology[J].Journal of Shandong University of Technology:Science and Technology,2006,20(2):77-80. |
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| Authors: | ZHU Mu-tian YU Hong-mei LIU Zhi-jie |
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| Institution: | Department of Information Engineering, Zibo Vocational Institute, Zibo 255013, China |
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| Abstract: | The technology of decision tree is widely used in artificial intelligence.Gather a large amount of data of detecting sample and make use of decision tree to realize data processing can draw the useful data for mathematical statistics,thus improves the accuracy of biochemical analysis,which has extensive meanings in medical application. |
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| Keywords: | serial detecting enzyme-catalyzed reactions decision tree digital filter linear regression |
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