An Expert System Based on Spatial Data Mining Used Decision Tree for Agriculture Land Grading
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.
Decision Tree Visualization Spatial Data Mining Agriculture Land Grading Expert System
Zelu Jia
School of Geology and Environment Engineering Central South University, CSU, Changsha, China School of Resource and Environment Science Wuhan University, WHU, Wuhan, China
国际会议
长沙
英文
3121-3124
2009-10-10(万方平台首次上网日期,不代表论文的发表时间)