Classification rule mining based on ant colony optimization algorithm

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业信息学研究室 > 先进制造技术研究室

	Classification rule mining based on ant colony optimization algorithm
	Jin P(金鹏); Zhu YL(朱云龙); Hu KY(胡琨元); Li SF(李素粉)
	2006
会议名称	International Conference on Intelligent Computing (ICIC)
会议日期	August 16-19, 2006
会议地点	Kunming, China
页码	654-663
中文摘要	Classification rule mining is an important function of data mining, and is applied in many data analysis tasks. The classification rule mining algorithm based-on ant colony optimization (ACO) is researched in this paper. Some improvements are implemented based on existing research to enhance classification predictive accuracy and simplicity of rules. Multi-population parallel strategy is proposed, the cost-based discretization method is adopted, and parameters in the algorithm are adjusted step by step. With these improvements, performance of the algorithm is advanced, and classification predictive accuracy is enhanced. Finally, SIMiner, a self-development data mining software system based on swarm intelligence, is applied to experiment on six data sets taken from UCI Repository on Machine Learning. The results illuminate the algorithm proposed in this paper has better performance in predictive accuracy and simplicity of rules.
收录类别	SCI ; CPCI（ISTP）
产权排序	1
会议主办者	IEEE Computat Intelligence Soc, Int Neural Network Soc, Natl Sci Fdn China
会议录	INTELLIGENT CONTROL AND AUTOMATION
会议录出版者	SPRINGER-VERLAG
会议录出版地	BERLIN
语种	英语
ISSN号	0170-8643
ISBN号	3-540-37255-5
WOS记录号	WOS:000240383400082
研究领域[WOS]	Automation & Control Systems ; Computer Science
WOS标题词	Science & Technology ; Technology
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/8164]
专题	沈阳自动化研究所_工业信息学研究室_先进制造技术研究室
推荐引用方式 GB/T 7714	Jin P,Zhu YL,Hu KY,et al. Classification rule mining based on ant colony optimization algorithm[C]. 见:International Conference on Intelligent Computing (ICIC). Kunming, China. August 16-19, 2006.