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数据挖掘与组合学习

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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.
Data Mining and Ensemble of Learning Methods

刁力力、胡可云、陆玉昌、石纯一

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清华大学计算机科学与技术系

Data-mining,Classification/prediction,Ensemble of learning methods

国家自然科学基金国家重点基础研究发展计划(973计划)清华大学校科研和教改项目

79990580G1998030414

2001

计算机科学
重庆西南信息有限公司(原科技部西南信息中心)

计算机科学

CSCD北大核心
影响因子:0.944
ISSN:1002-137X
年,卷(期):2001.28(7)
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