广东工业大学学报Issue(1)：25-31,7.DOI:10.3969/j.issn.1007-7162.2014.01.005
基于 KNN 的多组合器协同挖掘局域气象数据
The Application of KNN-based Multi-classifiers in Mining Local Area Meteorological Data
摘要
Abstract
Natural disasters injure people and damage property .Because the weather is related to many factors, it is difficult to forecast accurately the disastrous weather .Based on multi-classifiers, a coopera-tive data mining method is proposed .A cooperative classification model is designed and implemented , which is composed of base classifiers and an integration classifier .The model is used to mine local area meteorological data .Experimental results show that the model has high classification accuracy and effi-cient ability .关键词
数据挖掘/K-最近邻算法/协同/组合分析器/局域气象数据Key words
data mining/K-Nearest Neighbor algorithm/cooperative/multi-classifier model/local area meteorological data分类
信息技术与安全科学引用本文复制引用
滕少华,樊继慧,陈潇,张巍,刘冬宁,梁路..基于 KNN 的多组合器协同挖掘局域气象数据[J].广东工业大学学报,2014,(1):25-31,7.基金项目
教育部重点实验室基金资助项目（110411）；广东省自然科学基金资助项目（10451009001004804，9151009001000007）；广东省科技计划项目（2012B091000173）；广州市科技计划项目（2012J5100054，2013J4500028）；韶关市科技计划资助项目 （）
