An attribute reduction SVM-based tax assessment model

作者：Liu Han^*; Yu Xiaoqing; Wan Wanggen

来源：International Conference on Audio, Language and Image Processing, 2008-07-07 to 2008-07-09.

Tax assessment has always been regarded as a tool to check whether taxpayers submit the right amount of money. This paper will propose a new tax assessment model mainly based on an attribute reduction SVM in the light of its good performance in classifying highdimensional nonlinear. data. In the paper, we will apply our model to a real-world example to see its practical performance. The results show that our model performs well both in data classification accuracy andpredictive accuracy. Keyword: SVM, tax assessment

• 出版日期2008
• 单位上海大学