Research on a case-based reasoning method using cost-sensitive learner and its applications
一种基于代价敏感学习的范例推理方法及其应用研究

This paper proposed a case-based reasoning method using cost-sensitive learning that can classify and forecast large-scale and high dimension data. While classifying, this method adjust attribute weight constantly, in order to reduce the misclassification cost. The method has made a better result on some intrusion detection research.