DOI QR코드

DOI QR Code

A Study on Data Mining Using the Spline Basis

  • Published : 2004.08.01

Abstract

Due to a computerized data processing, there are many cases when we encounter a huge data set. On the other hand, advances in computing technologies make it possible to deal with a huge data set. One important area is the data mining. In this paper we consider data mining when the dependent variable is binary. The proposed method is to use the poly-class model when the independent variables consists of continuous and discrete variables. An example is provided.

Keywords

References

  1. 2002년도 한국통계학회 추계학술논문발표회 초청강좌 기저함수 방법론 구자용
  2. 응용통계연구 v.13 no.2 데이터마이닝에서의 폴리클라스 구자용;박헌진;최대우
  3. 데이터마이닝 장남식
  4. Statistical Model in S, 2/e Chambers, J.H.;Hastie, T.J.
  5. Generalized Additive Models Hastie, T.J.;Tibshirani, R.J.
  6. Data Mining Witten, Ian H.;Frank, E.
  7. Generalized Linear Models, 2/e McCullagh, P.;Nelder, J.A.
  8. Numerical Recipes in C, 2/e Press, William H.
  9. Technometrics v.21 Generalized Cross Validation as Method for Choosing a Good Ridge Parameter Wahba, G.;Golub, G.H.;Heath, C.G. https://doi.org/10.2307/1268518

Cited by

  1. A polychotomous regression model with tensor product splines and direct sums vol.25, pp.1, 2014, https://doi.org/10.7465/jkdi.2014.25.1.19