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International Conference on Genetic and Evolutionary Computing

ICGEC 2018: Genetic and Evolutionary Computing pp 687–694Cite as

Application of Big Data Technology in Student Management Decision

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 834))

Abstract

Using big data technology in student affairs management has become the trend of the times. In addition to national policy requirements, the application is not only the need for normative management, but also the call for scientific decision-making. In this application, we should develop standard specifications for big data, build a platform for the application of the big data, and make deep mining from the big data. Based on the application situation, we should continuously strengthen our knowledge of big data, expand the sharing of the big data, and try a variety of big data technologies to improve the work of data collection, storage, processing, and application.

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References

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Acknowledgements

This work is supported by Top-notch Academic Programs Project of Jiangsu Higher Education Institutions (TAPP) under Grant No. PPZY2015A090, and Jiangsu top six talent summit project under Grant No. XXRJ-011.

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Authors and Affiliations

  1. Changzhou College of Information Technology, Changzhou, 213164, China

    Jianjian Luo

Authors
  1. Jianjian Luo
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Correspondence to Jianjian Luo .

Editor information

Editors and Affiliations

  1. Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  2. Department of Computing, Mathematics, and Physics, Western Norway University of Applied Sciences, Bergen, China

    Jerry Chun-Wei Lin

  3. Changzhou College of Information Technology, Changzhou, Jiangsu, China

    Bixia Sui

  4. College of Smart Living and Management, Tajen University, Pingtung, Taiwan

    Shih-Pang Tseng

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Cite this paper

Luo, J. (2019). Application of Big Data Technology in Student Management Decision. In: Pan, JS., Lin, JW., Sui, B., Tseng, SP. (eds) Genetic and Evolutionary Computing. ICGEC 2018. Advances in Intelligent Systems and Computing, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-13-5841-8_72

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