Fraud Detection in Tax Declaration Based on SVM
Aiguo Li · Jisuanji gongcheng · 2006
Fraud detection in tax declaration is an interesting problem.An approach of fraud detection in tax declaration based on a support vector machine(SVM) is proposed in this paper.ASVM is trained using financial data of sampled enterprises,the SVM is then employed to detect whether tax data declared by an enterprise is true or not.Experimental results show that the proposed approach is effective: classification precision of proposed method is 87.10% in 31 sample data,and it is 3.23% higher than that of See 5.0.Training the SVM from 30 sample training data set takes only 1.708s.