JSW 2012 Vol.7(10): 2236-2240 ISSN: 1796-217X
doi: 10.4304/jsw.7.10.2236-2240
doi: 10.4304/jsw.7.10.2236-2240
Small and Medium Enterprises Risky Prediction System Based On Cloud Computing
Malin Song1, Ben-Chang Shia2, Hailiang Yao3, Wei Wang3, and Kuangnan Fang4
1Department of Statistics, Anhui University of Finance and Economics, China
2Department of Statistics and Information Science & Applied Statistics, Fu Jen Catholic University, Taipei Hsien
3School of Statistics Central University of Finance and Economics ,Beijing, China
3Department of Statistics, School of Economics, Xiamen University, Fujian Province, 361005
Abstract—This paper establishes the system of C2FAST and Improved Cloud-R based on cloud computing and parallel computing. Small and medium enterprises can implement data mining technology on the systems to obtain the relevant financial information and financial risk prediction models.
Index Terms—Data Mining; Cloud Computing; MES Model; Improved Cloud-R; C2FAST
2Department of Statistics and Information Science & Applied Statistics, Fu Jen Catholic University, Taipei Hsien
3School of Statistics Central University of Finance and Economics ,Beijing, China
3Department of Statistics, School of Economics, Xiamen University, Fujian Province, 361005
Abstract—This paper establishes the system of C2FAST and Improved Cloud-R based on cloud computing and parallel computing. Small and medium enterprises can implement data mining technology on the systems to obtain the relevant financial information and financial risk prediction models.
Index Terms—Data Mining; Cloud Computing; MES Model; Improved Cloud-R; C2FAST
Cite: Malin Song, Ben-Chang Shia, Hailiang Yao, Wei Wang, and Kuangnan Fang, "Small and Medium Enterprises Risky Prediction System Based On Cloud Computing," Journal of Software vol. 7, no. 10, pp. 2236-2240, 2012.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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