灾害天气关联模式挖掘技术研究

Research on Mining Association Rules of Disaster Weather in Weather Database

提出了一种对海量气象数据进行数据挖掘及提取灾害性天气间有效的关联模式的方法,对气象中蕴含的各种灾害性天气进行分类和有效数据处理,并使用Apriori算法进行关联规则挖掘,获得了有意义的灾害性气候的关联模式,可以指导灾害性天气的预报和支持决策.

In this paper we propose a new method for discovering association rules about hazardous weather from a great weather database. We classify and effectively deal with datum ofhazardous weather, furthermore we useApriorialgorithm to mine these datum in order to find effective association rules which can guide hazardous weather forecast and provide the decision-making.