PDF(2555 KB)
PDF(2555 KB)
PDF(2555 KB)
基于灰色系统理论的时序数据挖掘技术
刘斌1,2、刘思峰1、党耀国1,2
The Time Sequence Data Mining Techniques Based on Grey System Theory
Liu Bin1,2、 Liu Sifeng1、 Dang Yaoguo1,2
阐述了嵌入知识的数据挖掘思想和数据挖掘技术现状，结合灰色系统理论首次提出了时序数据挖掘的灰色系统方法集（GDMS），并以灰色系统中的GM（1,1）模型为例，介绍了其具体算法。应用此算法对上海市2002～2005年的上网户数进行了预测。
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.
grey system theories / embedded knowledge / time sequeke data mining / GDMS / forecast
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