Sensitivity analysis for data mining
JingTao Yao · 2004
An important issue of data mining is how to transfer data into information, the information into action, and the action into value or profit. This paper presents a study on applying sensitivity analysis to neural network models for a particular area in data mining, interesting mining and profit mining. Applying sensitivity analysis to neural network models rather than just regression models can help us identify sensible factors that play important roles to dependent variables such as total profit in a dynamic environment.