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Analysis of Macro Factors of Welfare Lottery Marketing Based on Big Data

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Web Information Systems and Applications (WISA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11817))

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Abstract

In order to analyze various factors of welfare lottery marketing in China objectively, we utilize several regression models to analyze the macro factors of the annual sales of welfare lottery. Afterwards, we adopt different CART decision tree models to analyze the micro factors of the daily sales of welfare lottery. The experimental results show that the learned rules can provide an objective basis for scientific selection of marketing strategies.

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References

  1. Dajuan, J.: Characteristic analysis of welfare lottery game archives. China Civ. Aff. 630(09), 37–38 (2018)

    Google Scholar 

  2. Ning, G.: Computer network security management in welfare lottery management. Sci. Technol. Econ. Market 01, 192–194 (2018)

    Google Scholar 

  3. Yang, L.: Optimized analysis of the competitive strategy of welfare lottery issuance management in China. Money China (Academic Edition) 05, 41–42 (2018)

    Google Scholar 

  4. Gang, L., Yangzhi, L.: Research on developing strategies for the Toto in China. J. Sports Sci. 38(9), 21–36 (2018)

    Google Scholar 

  5. Haipeng, C., Xuwang, L., Xuanjing, S., et al.: Analysis and prediction on rebar price based on multiple linear regression model. Comput. Sci. 44(B11), 61–64 (2017)

    Google Scholar 

  6. Xi, Y., Zhuang, X., Wang, X., Nie, R., Zhao, G.: A research and application based on gradient boosting decision tree. In: Meng, X., Li, R., Wang, K., Niu, B., Wang, X., Zhao, G. (eds.) WISA 2018. LNCS, vol. 11242, pp. 15–26. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-02934-0_2

    Chapter  Google Scholar 

  7. Chuanze, L., Longxian, C., Dawei, L., et al.: Defect recognition of wood-based panel surface using pruning decision tree. Comput. Syst. Appl. 27(11), 168–173 (2018)

    Google Scholar 

  8. Hongliang, Y., Xiaoqin, M., Hao, W., et al.: Stock market trend prediction algorithm based on morphological characteristics and causal ridge regression. Comput. Eng. 42(02), 175–183 (2016)

    Google Scholar 

  9. Xiangdong, Z., Kun, W., Hui, Q.: Fault tolerant regression model for sensing data. Comput. Sci. 43(02), 140–143 (2016)

    Google Scholar 

  10. Gang, L., Wei, J.: Research on Parkinson UPDRS prediction model based on GBDT. Comput. Technol. Dev. 29(01), 216–220 (2019)

    Google Scholar 

  11. Breimann, L.J., Friedmann, R.O., Sone, C.: Classification and Regression Tress. Wadsworth, Belmont (1984)

    Google Scholar 

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Acknowledgement

This work was partially supported by the National Natural Science Foundation of China under Grant (Nos. U1811261, 61602103).

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Authors and Affiliations

  1. School of Computer Science and Engineering, Northeastern University, Shenyang, 110169, China

    Cheng Li, Hua Shao, Tiancheng Zhang & Ge Yu

  2. Liaoning Welfare Lottery Issuance Center, Shenyang, 110015, China

    Cheng Li

Authors
  1. Cheng Li
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  2. Hua Shao
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  3. Tiancheng Zhang
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  4. Ge Yu
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Corresponding author

Correspondence to Cheng Li .

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Editors and Affiliations

  1. Southeast University, Nanjing, China

    Weiwei Ni

  2. Tianjin University, Tianjin, China

    Xin Wang

  3. Wuhan University, Wuhan, China

    Wei Song

  4. Tianjin University of Technology, Tianjin, China

    Yukun Li

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Li, C., Shao, H., Zhang, T., Yu, G. (2019). Analysis of Macro Factors of Welfare Lottery Marketing Based on Big Data. In: Ni, W., Wang, X., Song, W., Li, Y. (eds) Web Information Systems and Applications. WISA 2019. Lecture Notes in Computer Science(), vol 11817. Springer, Cham. https://doi.org/10.1007/978-3-030-30952-7_21

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  • DOI: https://doi.org/10.1007/978-3-030-30952-7_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30951-0

  • Online ISBN: 978-3-030-30952-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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