Abstract
With the continuous expansion of the enrollment scale of colleges and universities, the rapid expansion of teaching management in colleges and universities has increased the workload and difficulty of college financial management. This research mainly discusses the construction of college financial management information system under the background of big data. Considering the difficulty of signing, which is the most troublesome leader for reimbursements, develop an electronic approval system. Use classification regression, association rules, change differences and other data mining techniques to build a data warehouse, and then process the data through different distribution methods and multi-dimensional analysis models to provide a decision-making basis for the school to formulate the next annual budget. Through the data processing and analysis system of the big data platform, combined with the historical data of universities and other domestic university data, analyze the level of universities and colleges. Through the information management strategy of colleges and universities, the annual budget revenue of the school in 2019 was 2.274 billion yuan, an increase of 107 million yuan over 2018. This research is of key significance for strengthening financial management of universities and building a financial management information platform.
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References
Mauro, A.D., Greco, M., Grimaldi, M.: A formal definition of big data based on its essential features. Libr. Rev. 65(3), 122–135 (2016)
Xu, L., Jiang, C., Wang, J., et al.: Information security in big data: privacy and data mining. IEEE Access 2(2), 1149–1176 (2017)
Cai, H., Xu, B., Jiang, L., et al.: IoT-based big data storage systems in cloud computing: perspectives and challenges. IEEE Internet Things J. 4(1), 75–87 (2017)
Chi, M., Plaza, A., Benediktsson, J.A., et al.: Big data for remote sensing: challenges and opportunities. Proc. IEEE 104(11), 2207–2219 (2016)
Jiayao, W., Mingxia, X.: Geographical national condition and complex system. Acta Geod. Cartogr. Sin. 45(1), 1–8 (2016)
Su, Z., Xu, Q., Qi, Q.: Big data in mobile social networks: a QoE-oriented framework. IEEE Netw. 30(1), 52–57 (2016)
Almalaq, A., Hao, J., Zhang, J.J., et al.: Parallel building: a complex system approach for smart building energy management. Autom. Sin. IEEE/CAA J. 6(6), 1452–1461 (2019)
Santos, D., Renato, P.: On the philosophy of bitcoin/blockchain technology: is it a chaotic, complex system? Metaphilosophy 48(5), 620–633 (2017)
Koenig, A., Fehn, A., Puck, J., et al.: Primary or complex? Towards a theory of metaphorical strategy communication in MNCs. J. World Bus. 52(2), 270–285 (2017)
Xu, W., Zhou, H., Cheng, N., et al.: Internet of vehicles in big data era. IEEE/CAA J. Autom. Sin. 5(1), 19–35 (2018)
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Wang, X. (2021). University Financial Management Information System Under the Background of Big Data. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2021. Advances in Intelligent Systems and Computing, vol 1384. Springer, Cham. https://doi.org/10.1007/978-3-030-74811-1_118
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DOI: https://doi.org/10.1007/978-3-030-74811-1_118
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