mining recent frequent itemsets in data streams

	mining recent frequent itemsets in data streams
	Li Kun; Wang Yong-yan; Ellahi Manzoor; Wang Hong-an
	2008
会议名称	5th International Conference on Fuzzy Systems and Knowledge Discovery
会议录名称	Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
页码	353-358
会议日期	OCT 18-20,
会议地点	Jinan, PEOPLES R CHINA
出版地	10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
出版者	FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 4, PROCEEDINGS
ISBN	978-0-7695-3305-6
部门归属	Li, Kun; Wang, Yong-yan; Ellahi, Manzoor; Wang, Hong-an Chinese Acad Sci, Inst Software, Intelligence Engn Lab, Beijing 100190, Peoples R China.
摘要	Mining frequent itemsets in data streams is a hot research topic in recent years. Due to the continuous, highspeed and unbounded properties of data streams, traditional algorithms on static dataset are not suitable for mining in data streams.
关键词	Bfi-stream Mfi-transsw Bounded Frequent Itemsets Stream Data Streams Prefix-tree Based Structure Data Mining Tree Data Structures
主办者	Shandong Univ, Int Nat Computat & Knowledge Discovery Assoc
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/10642
专题	人机交互技术与智能信息处理实验室
推荐引用方式 GB/T 7714	Li Kun,Wang Yong-yan,Ellahi Manzoor,et al. mining recent frequent itemsets in data streams[C]. 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA:FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 4, PROCEEDINGS,2008:353-358.

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