Description: Improved SLIQ algorithm can effectively reduce the computational complexity, and Suanfa Buxuyaojiang all the attributes of all attributes of all the calculated values of the Gini index, but different range by calculating the value of the property to achieve the same effect. This combination of real life examples, the algorithm and the original SLIQ algorithm and artificial neural network classification algorithm application results, the experimental results show that the classification accuracy of the algorithm is much higher than SLIQ algorithm and the classification based on artificial neural network algorithm.
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一种基于SLIQ算法改进的研究.pdf
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