Skip to main content
Article thumbnail
Location of Repository

UDC 004.832.2 Data Mining Techniques Based on Grey System Theories for Time Sequence Data

By Liu Bin, Zhang Hui, Liu Sifeng and Dang Yaoguo

Abstract

Abstract. Data mining is an interesting focus in computer science field now. This paper deals with data mining techniques based on Grey system theories for time sequence data. Firstly, thoughts of data mining with embedded knowledge are expatiated, and the status quo of Data mining techniques is presented briefly. Then, based on the above thoughts and the Grey system theories, data mining techniques based on Grey system theories for time sequence data are proposed for the first time, and the idiographic arithmetic with GM(1,1) as an example is introduced in this paper. Last, it forecasts the total homes in 2002~2005 connecting with Internet in ShangHai City by the arithmetic. 1

Year: 2008
OAI identifier: oai:CiteSeerX.psu:10.1.1.134.96
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.comsis.fon.bg.ac.yu... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.