摘要
应用粗糙集理论探究建筑能耗数据信息的深度挖掘技术构建信息综合预测模型,以精简有效的建筑能耗数据信息为载体,对数据信息的预测、评价和存档具有重要实践意义,为有效实现建筑能耗数据信息管理标准化提供可行的技术路径。
The mining technology of building energy consumption data information was explored based on rough set theory,and also the comprehensive predictive model of building energy consumption data information was structured. It was of great importance to forecast, evaluate and archive the data information on a carrier of simple as well as effective building energy consumption information, which provided a feasible technology path to achieve the information management standardization of building energy consumption data.
出处
《情报科学》
CSSCI
北大核心
2012年第8期1143-1146,1188,共5页
Information Science
基金
十二五科技支撑计划课题(2012BAJ19B03)
关键词
粗糙集理论
数据挖掘
信息管理
标准化
rough set theory
data mining
information management
standardization
