C4.5-Based Classification Rules Mining of High-Rise Building SFIO

Firstly, we show that the C4.5 algorithm inherits all the advantages of the ID3 algorithm, at the same time, it overcomes the defect of ID3 algorithm such as can not deal directly with continuous attributes, tend to choose more attributes when using information gain attributes to confirm the test values; we introduced the basic thought, problem solving process, the theoretical basis and classification rules extraction methods of C4.5 algorithms. Then, application of the high-rise building as the background, we used C4.5 algorithm to establish decision tree model of structural form intelligent optimization (SFIO). We extract the classification rules which could be distinguish structural form such as high-rise building structural function, height, fortification intensity etc. It provides new ways and scientific basis for the structural form optimal selection. Theory and Practice shows that C4.5 algorithm can effective mine form optimization data from the cases. This paper provides a new approach and methodology on the full use of abundant cases to address SFIO of knowledge acquisition "bottleneck".