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RETRACTED ARTICLE: Research on innovation path of school ideological and political work based on large data

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This article was retracted on 05 December 2022

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Abstract

The era of big data bring influence to the world within the scope of all walks of life, ideological and political work is also facing a huge impact, including the impact of education object and education carrier, these effects also in the ideological and political education work has brought opportunities and challenges. This paper puts forward the innovation in the way of thinking, mode of supervision, education mode of thought, emphasizing the ideological and political education workers to enhance data awareness, improve the way of thinking, to fully grasp the big data analysis techniques, to prepare for the big data era, groping in the ideological and political education of law, improve the quality of Ideological and political education the promote education level, help the majority of college students in the era of big data context consciously set up the correct world outlook, outlook on life and values, and constantly improve their own comprehensive quality and professional skill level, become the main force of the social and economic development China.

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References

  1. Lazer, D., Kennedy, R., King, G., et al.: Big data. The parable of Google Flu: traps in big data analysis. Science 343(6176), 1203–1205 (2014)

    Article  Google Scholar 

  2. Chen, C.L.P., Zhang, C.Y.: Data-intensive applications, challenges, techniques and technologies: a survey on Big Data. Inf. Sci. 275(11), 314–347 (2014)

    Article  Google Scholar 

  3. Marx, V.: Biology: the big challenges of big data. Nature 498(7453), 255–260 (2013)

    Article  Google Scholar 

  4. Jagadish, H.V., Gehrke, J., Labrinidis, A., et al.: Big data and its technical challenges. Commun. ACM 57(7), 86–94 (2014)

    Article  Google Scholar 

  5. Zhang, H.H.: The study on the construction of groups of party and league of students in colleges and universities. Micropaleontology 44(1), 1–42 (2014)

    Google Scholar 

  6. Marcheschi, E., Johansson, M., Brunt, D.: The interaction between physical and social environment in supported housing for people with severe mental illness. Phys. Rev. Lett. 47(6), 435–438 (2012)

    Google Scholar 

  7. Jamal, A.: Political and ideological factors of conflict in palestinian society. Biosens. Bioelectron. 63(63), 354–364 (2015)

    Google Scholar 

  8. Wang, L., Zhan, J., Luo, C., et al.: BigDataBench: a big data benchmark suite from internet services. IEEE, pp. 488–499 (2014)

  9. Havens, T.C., Bezdek, J.C., Leckie, C., et al.: Fuzzy c-means algorithms for very large data. IEEE Trans. Fuzzy Syst. 20(6), 1130–1146 (2012)

    Article  Google Scholar 

  10. Burean, T.: The ideological mapping of political parties in romania. the relationship between dimensions of competition and ideological consistency. Phys. Lett. B 325(3–4), 401–408 (2018)

    Google Scholar 

  11. Masetti-Rouault, M.G.: Globalization and imperialism: political and ideological reactions to the assyrian presence in Syria (IXth–VIIIth century BCE). Lupus 2(2), 61–62 (2014)

    Google Scholar 

  12. Lv, Y., Duan, Y., Kang, W., et al.: Traffic flow prediction with big data: a deep learning approach. IEEE Trans. Intell. Transp. Syst. 16(2), 865–873 (2015)

    Google Scholar 

  13. Kim, G.H., Trimi, S., Chung, J.H.: Big-data applications in the government sector. Commun. ACM 57(3), 78–85 (2014)

    Article  Google Scholar 

  14. McGuinn, P.: Fight club: are advocacy organizations changing the politics of education? Nature 31(1), 23–34 (2012)

    Google Scholar 

  15. Bakshy, E., Messing, S., Adamic, L.A.: Political science. Exposure to ideologically diverse news and opinion on Facebook. Science 348(6239), 1130–1132 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  16. Cevher, V., Becker, S., Schmidt, M.: Convex optimization for big data: scalable, randomized, and parallel algorithms for big data analytics. IEEE Signal Process. Mag. 31(5), 32–43 (2014)

    Article  Google Scholar 

  17. Richtárik, P., Takáč, M.: Parallel coordinate descent methods for big data optimization. Math. Program. 156(1–2), 433–484 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  18. Richtárik, Peter, Takáč, Martin: Parallel coordinate descent methods for big data optimization. Math. Program. 156(1–2), 433–484 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  19. Kim, G.H., Trimi, S., Chung, J.H.: Big data applications in the government sector: a comparative analysis among leading countries. Commun. ACM 57(3), 78–85 (2014)

    Article  Google Scholar 

  20. Poldrack, R.A., Gorgolewski, K.J.: Making big data open: data sharing in neuroimaging. Nat. Neurosci. 17(11), 1510–1517 (2014)

    Article  Google Scholar 

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Authors and Affiliations

  1. Wuhan Sports University, Wuhan, 430079, Hubei, China

    Shile Wang & Ting Zhang

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  1. Shile Wang
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  2. Ting Zhang
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Correspondence to Shile Wang.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s10586-022-03910-x

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Wang, S., Zhang, T. RETRACTED ARTICLE: Research on innovation path of school ideological and political work based on large data. Cluster Comput 22 (Suppl 2), 3375–3383 (2019). https://doi.org/10.1007/s10586-018-2184-1

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  • DOI: https://doi.org/10.1007/s10586-018-2184-1

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