The emergence of small faults seams has a huge impact on coal seam gas mining face emission, with small faults related to the number. Based on the analysis and collation of basic data mining through quantization algorithm, the number of small faults is worked out for mining side effects of gas emission quantification. By using the least squares polynomial curve fitting, this paper analyzes the macroscopic number of faults on the specific gas emission mining face. It finds that mining and tunneling face of gas emission impact, on the whole, is roughly the same, but the local impact of the change is different.