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滑坡成因决策树挖掘
引用本文:亓呈明,崔守梅,陈辉,曾青石.滑坡成因决策树挖掘[J].中国地质灾害与防治学报,2006,17(1):73-76.
作者姓名:亓呈明  崔守梅  陈辉  曾青石
作者单位:1. 北京联合大学自动化学院,北京,100101
2. 山东省淄博师范高等专科学校,山东,淄博,255100
3. 中国地质环境监测院,北京,100081
摘    要:文章介绍了构造决策树的C4.5算法。在预处理过的滑坡数据上利用决策树算法生成一组坡体稳定性规则。这些规则可作为分析及预测滑坡的重要参考。也可用来创建专家系统的知识库。其次,作者对决策树算法提出了改进,通过调整测试集的某些参数,构造了一棵局部最优的决策树。使得对于滑坡成因的分类具有更高的正确率。

关 键 词:数据挖掘  决策树  滑坡
文章编号:1003-8035(2006)01-0073-04
收稿时间:2005-06-20
修稿时间:2005-10-11

Decision-making tree for analysis of landslide causes
QI Cheng-ming,CUI Shou-mei,CHEN Hui,ZENG Qing-shi.Decision-making tree for analysis of landslide causes[J].The Chinese Journal of Geological Hazard and Control,2006,17(1):73-76.
Authors:QI Cheng-ming  CUI Shou-mei  CHEN Hui  ZENG Qing-shi
Abstract:This paper introduces C4.5 algorithm,which is widely used to construct decision-making tree.By implementation of this algorithm,a set of rules of slope stability can be generated based on a series of preprocessed landslide data.The generated rules could be subsequatly used for landslide analysis and predction,also could be used in building of repository of landslide expert system.To construct an optimized decision-making tree.this algorithm was further modified by adjusting same parameters in test data set.The modified algorithm can increase correction ratio when it is used for classification of landslide causes.
Keywords:data mining  decision tree  landslide
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