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Data Mining Techniques Based on Grey System Theories for Time Sequence Data
Computer Science and Information Systems, Tome 3 (2006) no. 2 Cet article a éte moissonné depuis la source Computer Science and Information Systems website

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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. 
@article{CSIS_2006_3_2_a4,
     author = {Liu Bin and Zhang Hui and Liu Sifeng and Dang Yaoguo},
     title = {Data {Mining} {Techniques} {Based} on {Grey} {System} {Theories} for {Time} {Sequence} {Data}},
     journal = {Computer Science and Information Systems},
     year = {2006},
     volume = {3},
     number = {2},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2006_3_2_a4/}
}
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Liu Bin; Zhang Hui; Liu Sifeng; Dang Yaoguo. Data Mining Techniques Based on Grey System Theories for Time Sequence Data. Computer Science and Information Systems, Tome 3 (2006) no. 2. http://geodesic.mathdoc.fr/item/CSIS_2006_3_2_a4/