Description: cases from the hospital to obtain the data for 3,022 cases samples the completion of the sample database and diabetic complications multidimensional data sets design, Complications of diabetes epidemiology knowledge discovery as the focus, Quantitative study of qualitative data mining engine model and algorithm design and implementation, Relational Model forthcoming introduction of diabetic complications epidemiological studies. the use of decision tree technical data samples for further analysis. C4.5 used to find optimal decision tree
- [C4.5_r8] - This is a Decision Tree Algorithm
- [C4.5algorithmsource.Rar] - C4.5 decision tree algorithms to generat
- [Apriori(VC code)] - The code is the VC implementation of the
- [dss-id3] - ID3 method based on a specific examples,
- [DTreebydhm] - Bank Decision Tree realized, used a medi
- [SVMppt] - statistical learning theory and SVM (sup
- [ID3_kidney] - cases from the hospital to obtain the da
- [tree_Kidney] - cases from the hospital to obtain the da
- [21224659673] - data mining algorithm source code is ver
- [mitmatlab] - It can inmplement several classic classi
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