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题名:
mining recent frequent itemsets in data streams
作者: Li Kun ; Wang Yong-yan ; Ellahi Manzoor ; Wang Hong-an
会议文集: Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
会议名称: 5th International Conference on Fuzzy Systems and Knowledge Discovery
会议日期: OCT 18-20,
出版日期: 2008
会议地点: Jinan, PEOPLES R CHINA
关键词: BFI-stream ; MFI-TransSW ; bounded frequent itemsets stream ; data streams ; prefix-tree based structure ; data mining ; tree data structures
出版者: FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 4, PROCEEDINGS
出版地: 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
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.
主办者: Shandong Univ, Int Nat Computat & Knowledge Discovery Assoc
英文摘要: 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.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/10642
Appears in Collections:人机交互技术与智能信息处理实验室_会议论文

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Recommended Citation:
Li Kun,Wang Yong-yan,Ellahi Manzoor,et al. mining recent frequent itemsets in data streams[C]. 见:5th International Conference on Fuzzy Systems and Knowledge Discovery. Jinan, PEOPLES R CHINA. OCT 18-20,.
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