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 on the use of decision tree technical data samples for further analysis. ID3 algorithm used to find the optimal decision tree.
- [dss-id3] - ID3 method based on a specific examples,
- [clustershiyongdaquan] - clustering algorithm and the Collected W
- [C45source] - Application of C45 decision tree tools o
- [DrawDiguiTrees] - the procedure to use basic map and recur
- [myDecisionTree] - when learning to write data mining decis
- [5611969759] - the ID3 decision tree classification alg
- [C4.5_Kidney] - cases from the hospital to obtain the da
- [guicode] - matlab interface procedures, many exampl
- [dssTree] - ID3 Decision Tree Algorithm JAVA realize
- [chenxu] - All the experimental data structures, in
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