计算机科学
大数据
指挥与控制
控制(管理)
数据建模
决策支持系统
数据挖掘
人工智能
软件工程
电信
作者
Jin Wang,Kun Qin,Xing Li,Hong Gao,Wenjia Lu
标识
DOI:10.1109/acait53529.2021.9731297
摘要
The decision-making process of traditional assistant decision-making model has the disadvantages of long decision-making time and slow convergence. Big data mining technology has the characteristics of extracting or mining hidden valuable information from complex and multi-scale massive data, and its convergence speed is fast based on artificial intelligence algorithm. Based on the original "six database" decision model and the characteristics of data mining, this paper designs a big data decision support model based on deep learning algorithm, and deeply expounds its working principle and operation process. This process provides an intelligent and information-based auxiliary means for commanders' decision-making, and improves the real-time and accuracy of command and control decision-making. In addition, the further application of data mining and deep learning algorithm in command and control information system is also discussed.
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