A surrogate variable-based data mining method using CFS and RSM

@inproceedings{Yang2007ASV,
  title={A surrogate variable-based data mining method using CFS and RSM},
  author={Le Yang and Sangmun Shin and Yongsun Choi and Myeonggil Choi and Younghee Cheri Lee},
  year={2007}
}
In many scientific and engineering fields, there are a number of data sets uncontrollable and hard to handle because the nature of measurement of a performance variable may often be destructive or very expensive, which are known as sets of noise factors. Although these noise factors, which may not be controlled by manufacturing and cost reasons, are merged as a key problem of data mining (DM) and analysis, most DM methods may not discuss robustness of solutions either by considering noise… CONTINUE READING

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