credit classification
1.3. Based on rejected cases a data envelope analysis (DEA) model is presented and a classification method is proposed with piecewise linear separating hyperplane as its boundary. The question of how to appraise the credit of new units with only the credit information of bankrupt units is discussed. A specific method evaluating credit situations of decision making units (DMU) is introduced, which classify the DMU into two categories i.e. the acceptance or rejection of credit risk.
2.SLIQ algorithm is a fast and scalable classification algorithm for data mining, which is brought forward by IBM Almaden Research Center in 1996. The typical application of SLIQ lies in CRM, credit ranking, etc in large business.
