摘要
针对现在全球极端天气频发的现状,天气预报用来及时发现灾害天气的出现显得尤为重要.随着数据挖掘技术的迅速发展和广泛应用,采用了改进FP-growth算法挖掘出各种气象因子之间可能存在的关联,从而发现气象特点,对近期天气气象做出预报.经过仿真实验验证,改进后的算法在天气预报准确率有了明显的提高.
Aiming at the problem of the global frequent extreme weather conditions, it is more important to discover the appearance of the disaster weather. With the rapid development and wide application of data mining technology. In this paper, it uses improved FP-growth algorithm to mining the possible correlation between various meteorological factors, so as to find the weather characteristics and forecast the near future weather condition. The simulation results show that the improved algorithm has a significant improvement in the accuracy of weather forecast.
出处
《计算机系统应用》
2016年第10期199-204,共6页
Computer Systems & Applications
基金
国家自然科学基金(61502298)
