数据挖掘与组合学习

• 作者: 刁力力 石纯一 胡可云 陆玉昌
• 来源期刊: 计算机科学
• 学科: 工学
• 关键词: Data-mining,Classification/prediction,Ensemble of learning methods
• 年，卷（期）: 2001,（7）
• 所属期刊栏目: 人工智能
• 页码范围: 73-78
• 页数: 6页
• 分类号: TP3
• 字数: 10015字
• 语种: 中文
• DOI: 10.3969/j.issn.1002-137X.2001.07.020

摘要

Data-mining is a kind of solution for solving the problem of information exploding. Classification and prediction belong to the most fundamental tasks in data-mining field. Many experiments have showed that the results of ensemble of learning methods are generally better than those of single learning methods under most of the time. In the sense,it is of great value to introduce ensemble of learning methods to data mining. This paper introduces data mining and ensemble of learning methods respectively,along with the analysis and formulation about the role ensemble of learning methods can act in some important practicing aspects of data mining:Text mining,multi-media information mining and web mining.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	陆玉昌	清华大学计算机科学与技术系	86	4098	32.0	63.0
2	石纯一	清华大学计算机科学与技术系	85	3189	30.0	55.0
3	胡可云	清华大学计算机科学与技术系	6	969	5.0	6.0
4	刁力力	清华大学计算机科学与技术系	4	163	3.0	4.0