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	A concept-drifting detection algorithm for categorical evolving data
	Cao, Fuyuan; Huang, Joshua Zhexue
	2013
会议名称	17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013
会议地点	Gold Coast, QLD, Australia
英文摘要	In data streams analysis, detecting concept-drifting is a very important problem for real-time decision making. In this paper, we propose a new method for detecting concept drifts by measuring the difference of distributions between two concepts. The difference is defined by approximation accuracy of rough set theory, which can also be used to measure the change speed of concepts. We propose a concept-drifting detection algorithm and analyze its complexity. The experimental results on a real data set with a half million records have shown that the proposed algorithm is not only effective in discovering the changes of concepts but also efficient in processing large data sets.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/4979]
专题	深圳先进技术研究院_医工所
作者单位	2013
推荐引用方式 GB/T 7714	Cao, Fuyuan,Huang, Joshua Zhexue. A concept-drifting detection algorithm for categorical evolving data[C]. 见:17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013. Gold Coast, QLD, Australia.

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