首页 | 本学科首页   官方微博 | 高级检索  
     检索      

增量决策树算法及复杂度分析
引用本文:尹阿东,宫雨,吴胜利,武森,高学东,李拥军.增量决策树算法及复杂度分析[J].北京科技大学学报,2004,26(2):202-205.
作者姓名:尹阿东  宫雨  吴胜利  武森  高学东  李拥军
作者单位:北京科技大学管理学院,北京,100083
摘    要:介绍了增量决策树算法的基本原理,并从实例费用和信息熵费用两个角度出发,对增量决策树算法的复杂度进行分析.通过实例说明,增量决策树算法能够构造出与ID3算法形态基本相同的决策树.

关 键 词:决策树  增量算法  复杂度  增量  决策树  算法  复杂度分析  Complexity  Decision  Trees  Inducing  形态  构造  信息熵  基本原理
修稿时间:2002年6月10日

An Incremental Alogrithm for Inducing Decision Trees and Its Complexity
YIN Adong,GONG Yu,WU Shengli,WU Sen,GAO Xuedong,LI Yongjun Management School,University of Science and Technology Beijing,Beijing ,China.An Incremental Alogrithm for Inducing Decision Trees and Its Complexity[J].Journal of University of Science and Technology Beijing,2004,26(2):202-205.
Authors:YIN Adong  GONG Yu  WU Shengli  WU Sen  GAO Xuedong  LI Yongjun Management School  University of Science and Technology Beijing  Beijing  China
Institution:YIN Adong,GONG Yu,WU Shengli,WU Sen,GAO Xuedong,LI Yongjun Management School,University of Science and Technology Beijing,Beijing 100083,China
Abstract:An incremental algorithm for inducing decision trees is presented based on ID3 algorithm. The complexity of the incremental algorithm is analyzed in terms of instance-count additions and e-score calculations. The same training instance shows that the incremental algorithm can induce decision trees equivalent to those forms by ID3 algorithm.
Keywords:decision trees  incremental algorithm  complexity
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号