5 decision tree as a baseline classifier,which can obtain the prediction model with a minimum error rate based on the assumption that all misclassifications have the same cost,to realize cost-sensitive learning.

This paper proposes two algorithms for age estima- tion by utilizing canonical correlation analysis and cost-sensitive learning.

The authors briefly review the theory of cost-sensitive learning, and the exist ing cost-sensitive learning algorithms.

So, the cost sensitive learning theory should be applied to solve the problems related to customer value classificiation.

A study on over-fitting in cost-sensitive learning

Since different type of attacks aimed at different computers make different damage, the authors propose the conception of cost-sensitive in alert correlation and judge the alert cost based on Bayesian network, which is inserted into the correlation process.

By improving the encode/decode methods and taking different misclassification cost into account, this paper concerns a new cost-sensitive algorithm called CSC-GEP based on Gene Expression Programming (GEP).

Cost Sensitive Support Vector Machines Applied in Medical Treatment;

Study of telecom customer churn prediction based on cost sensitive SVM

In this paper,a spam filtering method based on cost sensitive SVM is proposed.