efficient clustering-based outlier detection algorithm for dynamic data     stream

	efficient clustering-based outlier detection algorithm for dynamic data stream
	Elahi Manzoor; Li Kun; Nisar Wasif; Lv Xinjie; Wang Hongan
	2008
Conference Name	5th International Conference on Fuzzy Systems and Knowledge Discovery
Source	Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
Pages	298-304
Conference Date	OCT 18-20,
Conference Place	Jinan, PEOPLES R CHINA
Publish Place	10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
Publisher	FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 5, PROCEEDINGS
ISBN	978-0-7695-3305-6
Department	Elahi, Manzoor; Li, Kun; Nisar, Wasif; Lv, Xinjie; Wang, Hongan Chinese Acad Sci, Intelligence Engn Lab, Inst Software Chinese, Beijing 100190, Peoples R China.
English Abstract	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
Keyword	Anomaly Detection Clustering Based Approach Clustering-based Outlier Detection Algorithm Dynamic Data Stream Data Mining Security Of Data
Sponsorship	Shandong Univ, Int Nat Computat & Knowledge Discovery Assoc
Content Type	会议论文
URI	http://ir.iscas.ac.cn/handle/311060/10598
Collection	人机交互技术与智能信息处理实验室
Recommended Citation GB/T 7714	Elahi Manzoor,Li Kun,Nisar Wasif,et al. efficient clustering-based outlier detection algorithm for dynamic data stream[C]. 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA:FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 5, PROCEEDINGS,2008:298-304.

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