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UDC 004.832.2

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

Liu Bin^{1, 2}, Zhang Hui¹, Liu Sifeng² and Dang Yaoguo²

1. College of Information and Management Science Henan Agricultural University
   Zhengzhou, 450002 China
   Liubhnau@163.com
2. College of Economics and Management Nanjing University of Aeronautics and Astronautics
   Nanjing, 210016 China
   Sfliu@nuaa.edu.cn, Iamdangyg@163.com

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.

Publication information

Volume 3, Issue 2 (December 2006)
Year of Publication: 2006
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Bin, L., Hui, Z., Sifeng, L., Yaoguo, D.: Data Mining Techniques Based on Grey System Theories for Time Sequence Data. Computer Science and Information Systems, Vol. 3, No. 2, 73-82. (2006)