
KCI등재
학술저널
Data Mining based on Regression Diagnostics
- 한국자료분석학회
- Journal of The Korean Data Analysis Society (JKDAS)
- Vol.6 No.6
- : KCI등재
- 2004.12
- 1479 - 1488 (10 pages)
Among the data mining techniques, model building for regression should be based on the regression diagnostics such as selection of influent variables or observations. But the existing regression method is not practical for the huge data set. In this paper, a new regression diagnostic method for detecting influential observations which is useful for huge data sets is proposed. The proposed method is compared to the existing diagnostic method through simulations.
1. Introduction
2. Classical Regression Diagnostics
3. Proposed Regression Diagnostic
4. Numerical Study
5. Concluding Remarks
References