Abstract
Faced with the lack of data and redundant data, traditional decision support system is difficult to obtain accurate decision support index, which leads to the decline of system response and control performance. This paper studies the enterprise intelligent decision support system based on data mining. In the hardware design, the impedance conversion circuit, the signal transmitting and receiving FPGA interface circuit are designed to strengthen the software service. In the software design, the enterprise data design mode is set based on data mining, the decision indicators are selected according to the influencing factors, and the enterprise decision results are generated through the data analysis rules of the decision support system. The experimental data show that the response time of the proposed system is 0.0448 s and 0.0403 s lower than that of the two traditional systems in complex environment; When the data is missing or redundant, the control quality of the proposed system is 22.16% and 15.57% higher than that of the two traditional systems, respectively. Therefore, the decision support system based on data mining has better performance.
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Funding
1. Anhui Province University Humanities and Social Sciences Research Key Project: Research on the Changes of Local Commercial Organization Structure in the Internet Era; Number: (SK2020A0331)
2. The key project of overseas study and study for outstanding young and middle-aged backbone talents in Anhui Province (gxfxZD2016167)
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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Lv, Qy., Su, Y. (2022). Design of Enterprise Intelligent Decision Support System Based on Data Mining. In: Wang, S., Zhang, Z., Xu, Y. (eds) IoT and Big Data Technologies for Health Care. IoTCare 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 415. Springer, Cham. https://doi.org/10.1007/978-3-030-94182-6_18
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DOI: https://doi.org/10.1007/978-3-030-94182-6_18
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