Research on Service Capability Based on Data Mining

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Abstract:

The progress and development of the society promotes service industry to grow, and service-oriented enterprises are emerging. However, the lagging service theory makes the development of service economy lack of the corresponding theoretical support. Based on analyzing the sources of corporate profits in service economy era, the paper uses data mining technique to apply customer classification to measurement methods of service capability. The change of service capability not only makes the enterprises position the problem clients accurately and rapidly, but also can timely adjust business strategies, which can increase profits.

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175-180

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October 2014

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[1] Huang Haixia, Xu Xianglin, Research and analysis on student achievement based on C4. 5 algorithm , Computer Knowledge and Technology, 2011, 14: 3405-3409.

Google Scholar

[2] Luo Liangping, Application of data mining technique to e-commerce field , Modern Marketing (Academic Edition), 2011, 07: 259-261.

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[3] Yu Yonghong, Xiang Xiaojun, Gao Yang, Shang Lin, Yang Yubin, Research on service-oriented cloud data mining engine , Computer Science and Exploration, 2012, 01: 46-57.

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[4] Xiao Jianqiong, Song Guoqin, Research on mining based on interest-correlation rule and application to recommendation course system, Intelligent Computer and Application, 2012, 05: 73-74+77.

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[5] Xiao Wanrong, Shi Shaoting, Zhang Long, Zeng Shuoxun, Research on establishment of knowledge service platform based on industry—taking construction of knowledge service platform of pillar industry in Gansu , Gansu Science and Technology, 2012, 22: 45-48.

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[6] Zhou Shengchen, Shi Xunzhi, Qu Wenting, Shi Yingzi, Sun Yuncheng, Research on prediction of stock market time sequence based on Microblogging search and SVM , Computer and Modernization, 2013, 04: 22-26.

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