计算机与数字工程Issue(8)：1540-1542,3.DOI:10.3969/j.issn1672-9722.2015.08.040
基于信息论的特征选择算法在煤炭领域中的应用
Application of Information Theory Based Feature Selection Algorithm in Coal Area
于珊珊1
作者信息
- 1. 德宏师范高等专科学校 芒市 678400
- 折叠
摘要
Abstract
With the development of technology ,much more information is used to describe coal products .Facing the high dimensional coal data ,it is important to select meaningful information and get them used into future applications of coal analysis .In this paper ,focusing on the high dimensional coal data ,information theory based feature selection algorithm is proposed ,which computes the relativity of the coal features and selects much more meaningful features from the data .Be-sides ,the algorithm is applied into real world data mining analysis of coal ,and the results show the algorithm can select the meaningful features ,and the model built using the selected features can promote the prediction accuracy .关键词
信息论/特征选择/高维数据Key words
information theory/feature selection/high dimensional data分类
信息技术与安全科学引用本文复制引用
于珊珊..基于信息论的特征选择算法在煤炭领域中的应用[J].计算机与数字工程,2015,(8):1540-1542,3.
