The Time Sequence Data Mining Techniques Based on Grey System Theory

Liu Bin,Liu Sifeng,Dang Yaoguo

Strategic Study of CAE ›› 2003, Vol. 5 ›› Issue (9) : 32 -35.

PDF (2555KB)
Strategic Study of CAE ›› 2003, Vol. 5 ›› Issue (9) : 32 -35.
Academic Papers

The Time Sequence Data Mining Techniques Based on Grey System Theory

Author information +
History +
PDF (2555KB)

Abstract

This paper expatiates the thoughts of data mining with embedded knowledge and the techniques status quo of data mining. Based on the thoughts and the grey system (GS) theory, it proposes the GS-based data mining method set (GDMS) for time sequence first. Then this paper introduces the idiographic arithmetic withGM(1,1) as an example. Last, it forecasts the total homes connecting with Internet in Shanghai in M02—2005 by the arithmetic.

Keywords

grey system theories / embedded knowledge / time sequeke data mining / GDMS / forecast

Cite this article

Download citation ▾
Liu Bin,Liu Sifeng,Dang Yaoguo. The Time Sequence Data Mining Techniques Based on Grey System Theory. Strategic Study of CAE, 2003, 5(9): 32-35 DOI:

登录浏览全文

4963

注册一个新账户 忘记密码

References

AI Summary AI Mindmap
PDF (2555KB)

242

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/