Abstract
Traditional methods have some problems in evaluating the effectiveness of enterprise economic management model, such as low evaluation accuracy and long time-consuming. An evaluation method of enterprise economic management model effectiveness based on deep data mining is proposed. According to the screening principle of the effectiveness evaluation indicators of enterprise economic management mode, screen the effectiveness evaluation indicators of enterprise economic management mode, refer to the characteristic attributes of candidate indicators, analyze the dimension of candidate indicators, quantify the evaluation indicators, and calculate the index weight by using deep data mining technology to realize the effectiveness evaluation of enterprise economic management mode. The example analysis results show that the evaluation method effectively improves the accuracy of the effectiveness evaluation of enterprise economic management model.
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References
Liu, Y., Zhang, Y., Yang, L.: Design and application of enterprise environmental performance evaluation index system. Commun. Finance Account. 20(5), 28–30 (2021)
Cai, S., Fang, H.: The establishment of demonstration enterprises evaluation system in service-oriented manufacturing. Modernization Manag. 39(05), 70–76 (2019)
Liu, Z., Zhang, C.: Research on performance evaluation of heavily polluted enterprises from the perspective of sustainability: based on COWA operator and cloud model. Sci. Technol. Manag. Res. 39(01), 235–241 (2019)
Yulan, Z., Siting, J., Shuang, N., et al.: Research on investment efficiency evaluation of listed manufacturing companies in Beijing, Tianjin and Hebei – from the perspective of technological innovation. Friends of Accounting 12(18), 14–19 (2020)
Zhou, Y., Zuo, Y.: A study of the constructionof performance evaluation system of enterprise’s patent operation. Shandong Soc. Sci. 281(01), 147–153 (2019)
Huijin, C., Hao, D., Youcai, M.: Supply chain risk evaluation and application of export-oriented enterprises based on improved SCOR. Enterp. Econ. 39(1), 80–89 (2020)
Sun, Y., Mou, L.: Performance management of private environmental protection enterprises under the background of ecological civilization. Appl. Anal. Fuzzy Synth. Eval. Method 14(2), 3–7 (2020)
Liu, S., Fu, W., He, L., Zhou, J., Ma, M.: Distribution of primary additional errors in fractal encoding method. Multimedia Tools Appl. 76(4), 5787–5802 (2014). https://doi.org/10.1007/s11042-014-2408-1
Liu, S., Chen, X., Li, Y., Cheng, X.: Micro-distortion detection of lidar scanning signals based on geometric analysis. Symmetry 11(15), 1471 (2019)
Liu, S., Bai, W., Srivastava, G., Machado, J.A.T.: Property of self-similarity between baseband and modulated signals. Mob. Netw. Appl. 25(4), 1537–1547 (2019). https://doi.org/10.1007/s11036-019-01358-9
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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yan, Y., Zhang, L. (2022). Evaluation Method of Enterprise Economic Management Model Effectiveness Based on Deep Data Mining. In: Wang, SH., Zhang, YD. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 446. Springer, Cham. https://doi.org/10.1007/978-3-031-18123-8_24
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DOI: https://doi.org/10.1007/978-3-031-18123-8_24
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