Research Article
Design of Enterprise Intelligent Decision Support System Based on Data Mining
@INPROCEEDINGS{10.1007/978-3-030-94182-6_18, author={Qiu-ying Lv and Yang Su}, title={Design of Enterprise Intelligent Decision Support System Based on Data Mining}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part II}, proceedings_a={IOTCARE PART 2}, year={2022}, month={6}, keywords={Data mining Enterprises Intelligent decision making Support system}, doi={10.1007/978-3-030-94182-6_18} }- Qiu-ying Lv
Yang Su
Year: 2022
Design of Enterprise Intelligent Decision Support System Based on Data Mining
IOTCARE PART 2
Springer
DOI: 10.1007/978-3-030-94182-6_18
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.
