| 改进FP-growth算法在气象预报中的应用 |
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| 引用本文： | 刘娟,宋安军. 改进FP-growth算法在气象预报中的应用[J]. 计算机系统应用, 2016, 25(10): 199-204 |
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| 作者姓名： | 刘娟 宋安军 |
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| 作者单位： | 上海海事大学 信息工程学院, 上海 201306,上海海事大学 信息工程学院, 上海 201306 |
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| 基金项目： | 国家自然科学基金（61502298） |
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| 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.
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| 关 键 词： | 天气预报 气象因子 数据挖掘 关联规则 FP-growth算法 |
| 收稿时间： | 2016-02-06 |
| 修稿时间： | 2016-03-22 |
Application of an Improve FP-growth Algorithm in Meteorological Forecast |
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| LIU Juan and SONG An-Jun. Application of an Improve FP-growth Algorithm in Meteorological Forecast[J]. Computer Systems& Applications, 2016, 25(10): 199-204 |
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| Authors: | LIU Juan and SONG An-Jun |
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| Affiliation: | College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China and College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China |
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| Abstract: | 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. |
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| Keywords: | weather forecast meteorological factor data mining association rules FP-growth algorithm |
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