关键词: 气象数据, 融合分析, 数据挖掘, WEKA, 可视化

Abstract: In the fusion analysis of meteorological data and industry data, the application of data acquisition, statistical software, parameter fitting of machine learning and other fields are all related to multidisciplinary cross applications, but a one-stop intelligent and integrate online analytical platform which includes unified and accessible data acquisition, processing, analysis and output is still not available. For the current issue, this research establishes a one-stop prototype system of on-line meteorological data fusion analysis, which includes the Meteorological Unified Service Interface Community（MUSIC）, WEKA secondary integrated development, two-dimensional and three-dimensional visual output, and external data and algorithm packages importing. In this paper, the result is illustrated by the case of modeling and testing process of Hailar meteorological element fusion analysis, which indicates that this system can be used to provide an intensive, accessible and fast on-line fusion analysis platform for meteorological data among all industries, and offer new ideas about data analytical platform construction and realization to other general or professional industries.

Key words: meteorological data, fusion analysis, data mining, Waikato Environment for Knowledge Analysis（WEKA）, visualization