基于决策类划分多变量决策树天气户外运动分析实例  

An Example of Weather and Outdoor Motion Analysis of Multivariate Decision Trees Based on Decision Class Division

作　　者：黄俊南[1] HUANG Junnan(Quanzhou Vocational College of Economics and Business,Department of Information,Quanzhou 362000,China)

机构地区：[1]泉州经贸职业技术学院信息系,福建泉州362000

出　　处：《太原师范学院学报（自然科学版）》2019年第1期39-43,62,共6页Journal of Taiyuan Normal University:Natural Science Edition

基　　金：福建省教育厅科技项目(JAT171059)

摘　　要：使用决策类划分的新型多变量决策树算法,对选用的东南沿海天气与户外运动相关典型数据进行决策分析,简便有效地构造出相关决策树.验证了算法的有效性、准确性和高效性,同时提出了简单的优化数据方法,也证明了新算法的内敛性.Decision-making analysis of typical data related to weather and outdoor sports in southeastern coastal areas using a new multivariate decision tree algorithm based on decision-making class,and to construct a relevant decision tree easily and effectively.The validity,accuracy and efficiency of the algorithm are verified.At the same time,a simple method of optimizing data is proposed,and the introversion of the new algorithm is also proved.

关 键 词：决策树 多变量 决策类 算法分析 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]