基于决策树挖掘算法的水利信息化数据共享系统设计

Design of Water Information Data Sharing System Based on Decision Tree Mining Algorithm

常规共享系统数据挖掘算法挖掘到的数据集数据质量差,降低了系统可扩展性能和共享实时性,因此提出基于决策树挖掘算法的水利信息化数据共享系统设计。采用决策树挖掘算法挖掘水利信息化数据,构建数据共享模型,并设计数据共享传输格式,实现水利信息化数据共享。实验结果表明,设计系统较两组常规系统,正确率分别高6.12%、4.3%;产生的时间差小;在E数据集处运行时间分别小340、660 min;具有较高的数据质量、较优的数据共享实时性和扩展性。

The data mining algorithm of conventional sharing system has poor data quality,which reduces the extensibility and real-time sharing performance of the system.The design of water conservancy information data sharing system based on decision tree mining algorithm is proposed.The decision tree mining algorithm is used to mine the water conservancy information data,construct the data sharing model,and design the data sharing transmission format to realize the water conservancy information data sharing.Experimental results show that design system is two groups of conventional system,the accuracy rates were 6.12%and 4.3%higher,respectively;the time difference is small;in data set E,the running time is reduced by 340 min and 660 min respectively;it has higher data quality,better real-time data sharing and expansibility.