An Expert System Based on Spatial Data Mining Used Decision Tree for Agriculture Land Grading

摘要：

This paper introduces spatial data mining technique especially decision tree algorithm applying to agriculture land grading. The idea is to combine spatial data mining/decision tree techniques with expert system techniques and apply them to establish an intelligent agriculture land grading information system. The author adopt decision tree c4.5 algorithm and implement with Mo2.0 and VC++6.0 to build agriculture land grading expert system. Also, an experiment is presented to show the particular advantages of this methodology in addressing problems in land grading such as missing land information, difficulties in quantitative analysis of factors.

关键词： Decision Tree Visualization Spatial Data Mining Agriculture Land Grading Expert System

作者: Zelu Jia

作者单位: School of Geology and Environment Engineering Central South University, CSU, Changsha, China School of Resource and Environment Science Wuhan University, WHU, Wuhan, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 3121-3124

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）