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题名:
efficient clustering-based outlier detection algorithm for dynamic data stream
作者: Elahi Manzoor ; Li Kun ; Nisar Wasif ; Lv Xinjie ; Wang Hongan
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: anomaly detection ; clustering based approach ; clustering-based outlier detection algorithm ; dynamic data stream ; data mining ; security of data
出版者: FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 5, 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: Elahi, Manzoor; Li, Kun; Nisar, Wasif; Lv, Xinjie; Wang, Hongan Chinese Acad Sci, Intelligence Engn Lab, Inst Software Chinese, Beijing 100190, Peoples R China.
主办者: Shandong Univ, Int Nat Computat & Knowledge Discovery Assoc
英文摘要: Anomaly detection is currently an important and active research problem in many fields and involved in numerous applications. Most of the existing methods are based on distance measure. But in case of Data Stream these methods are not very eff
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/10598
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:
Elahi Manzoor,Li Kun,Nisar Wasif,et al. efficient clustering-based outlier detection algorithm for dynamic data stream[C]. 见:5th International Conference on Fuzzy Systems and Knowledge Discovery. Jinan, PEOPLES R CHINA. OCT 18-20,.
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