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A Study on Data Mining Using the Spline Basis
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 Title & Authors
A Study on Data Mining Using the Spline Basis
Lee, Sun-Geune; Sim, Songyong; Koo, Ja-Yong;
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 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
CRM;Data Mining;Spline;Gain;Polyclass;
 Language
Korean
 Cited by
1.
연속형의 텐서곱과 범주형의 직합을 사용한 다항 로지스틱 회귀모형,심송용;강희모;

Journal of the Korean Data and Information Science Society, 2014. vol.25. 1, pp.19-26 crossref(new window)
1.
A polychotomous regression model with tensor product splines and direct sums, Journal of the Korean Data and Information Science Society, 2014, 25, 1, 19  crossref(new windwow)
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