Analysis and Short-Term Prediction of Information Service Industry’s Prosperity Index

Ning Wang; Fei Sun; Xiao Hong Shan

doi:10.4028/www.scientific.net/AMR.945-949.2971

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949Analysis and Short-Term Prediction of Information...

Analysis and Short-Term Prediction of Information Service Industry’s Prosperity Index

Abstract:

As an emerging industry of strategic importance, the development of information service industry has been compelling. By analyzing the development process of the information services industry in the past decade, we can learn that the information service is in warm now. Through establishing an ARMIA model, this study draw conclusion that the industry development index will rise steadily and slowly in 2014. The findings can help government, investors, consumer get a close understanding of the Information Service Industry and take it as a basis for decision making.

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

2971-2976

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.2971

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Online since:

June 2014

Authors:

Ning Wang, Fei Sun, Xiao Hong Shan

Keywords:

ARIMA Model, Information Service Industry, Prediction

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References

[1] Information on http: /www. stats. gov. cn.

Google Scholar

[2] Ning Wang: Development Report of China's Information Service Industry. POST & TELECOM PRESS, (2012). [In Chinese].

Google Scholar

[3] Chen M K, Wang S C. Expert Systems with Applications. Vol. 37(1) (2010), pp.694-704.

Google Scholar

[4] Linghua Ding. Journal of Xi'an Institute of Finance & Economics. Vol. 24(5) (2011), pp.73-76. [In Chinese].

Google Scholar

[5] Ping Hu, Peng Shao, Chunlong Wen. Modern Economic Science. Vol. 35(5) (2013), pp.74-80. [In Chinese].

Google Scholar

[6] Ömer Faruk D. Engineering Applications of Artificial Intelligence. Vol. 23(4) (2010), pp.586-594.

Google Scholar

[7] Wang C C. Expert Systems with Applications. Vol. 38(8) (2011), pp.9296-9304.

Google Scholar

[8] Paul J C, Hoque M S, Rahman M M. Global Journal of Management And Business Research. Vol. 13(3) (2013).

Google Scholar