MATLAB Implementation of Data Mining Algorithms - Classic C4.5 Algorithm Code
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Conducting data mining research in Chinese remains highly important in the field. Data mining encompasses numerous algorithms for data analysis and processing, among which the C4.5 algorithm stands as a particularly classical approach. This algorithm can be efficiently implemented in MATLAB, offering significant convenience for researchers. The implementation typically involves key functions for information gain calculation, tree node splitting, and pruning operations. Through C4.5 algorithm application, we can achieve better data understanding and utilization. The algorithm workflow generally includes data preprocessing, entropy-based feature selection, recursive tree building, and rule generation phases. Therefore, learning and applying the C4.5 algorithm holds substantial significance in data mining research, particularly for classification tasks involving discrete and continuous attributes.
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