Application of data mining technology in urban flood prevention
LIU Yuanyuan1,2, LI Lei3, HAN Gang4, LIU Yesen1,2
1. China Institute of Water Resources and Hydropower Research, Beijing 100038; 2. Research Center on Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing 100038; 3. Shenzhen National Climate Observatory, Shenzhen 518040; 4. Water Resources Bureau of Shenzhen Municipality, Shenzhen 518036
Abstract:With the development of science and technology, all kinds of sources and types of massive data are appearing explosively all the time, and the current society has entered into an era of big data. Through the statistical analysis of big data, correlation analysis and data mining, the law behind the data may be revealed. In addition, using artificial intelligence technology, such as data mining, machine learning, deep learning and so on,the future development trend may be reasonably prediced, which is the significance of big data analysis. In this paper, the data mining technology and its application in urban flood prevention are analyzed. The results show that the data mining technology can be used in analyze the massive business data in deoth and find the rules, which can provide timely and effective decision-making support for urban flood prevention work.
刘媛媛, 李磊, 韩刚, 刘业森. 数据挖掘技术在城市防汛中的应用[J]. 中国防汛抗旱, 2020, 30(5): 45-49,57.
LIU Yuanyuan, LI Lei, HAN Gang, LIU Yesen. Application of data mining technology in urban flood prevention. journal1, 2020, 30(5): 45-49,57.