Abstract
This chapter introduces decision trees, including ID3 and C4.5, as well as their applications in geosciences. For ID3 and C4.5, the applying ranges and conditions, basic principles, calculation methods, calculation flowcharts, and case studies are provided. There are three case studies in total. Though the case study is small, it reflects the whole process of calculations, to benefit readers for understanding and mastering the techniques applied. The calculation results all coincide with practicality, and the decision tree together with its several classification rules are called mined knowledge. In the first case study, ID3, C4.5, C-SVM and BPNN are applicable, but R-SVM not; in the second case study, ID3 and BPNN are applicable, but C-SVM, and R-SVM not; in the third case study, only ID3 is applicable, but C-SVM, R-SVM and BPNN not. Here decision trees all succeeds as it is based on data induction learning. Finally, four exercises are provided.
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