摘要
分析了数据库中由异常数据组成的小样本序列的特点 ,给出了灾变序列的定义 ,结合系统云灰色预测模型 ,提出了灰色趋势灾变预测的方法 ,对灰色趋势灾变预测在数据挖掘中的应用进行了研究 ,给出了对数据库中“贫”信息数据序列进行数据挖掘的步骤 .以全国旱涝灾害数据为研究对象 ,对全国水灾年份进行了预测分析 ,其预测结果与实际现象相符 .
The characteristics of small sample sequence consisting of abnormal data in database were analyzed, and the definition of abnormal sequence was given. Considering the theory of system cloud gray forecasting model, the method of gray trend abnormal forecasting was presented. An application of gray trend abnormal forecasting was investigated in data mining and the steps of data mining were provided for data sequence of “poor” information in database. Based on scanty abnormal history data of drought and flood, predication of the flood years were made . The result is consistent with the fact.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2005年第1期55-57,共3页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目 (79970 0 2 5 ) .
关键词
数据挖掘
系统云灰色预测
灾变预测
data mining
gray system cloud forecasting
abnormal forecasting
