ISCAS OpenIR  > 人机交互技术与智能信息处理实验室
db-outlier detection algorithm using divide and conquer approach over dynamic datastream
Elahi Manzoor; Lv Xinjie; Nisar Wasif; Khan Imran Ali; Qiao Ying; Wang Hongan
2008
Conference NameInternational Conference on Computer Science and Software Engineering, CSSE 2008
SourceProceedings - International Conference on Computer Science and Software Engineering, CSSE 2008
Pages438-443
Conference Date40878
Conference PlaceWuhan, Hubei, China
Publish PlaceUnited States
ISBN9780769533360
Department(1) Intelligence Engineering Lab., Institute of Software, Chinese Academy of Sciences, Beijing, 100190; (2) Graduate University, Chinese Academy of Sciences, Beijing, 100049, China; (3) COMSATS Institute of Information Technology, Islamabad, Pakistan; (4)
English AbstractAnomaly 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 which can produce better results as compared to other methods. But in
KeywordComputer Science Computer Software Data Communication Systems Data Mining Fuzzy Control Hydraulics
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/10500
Collection人机交互技术与智能信息处理实验室
Recommended Citation
GB/T 7714
Elahi Manzoor,Lv Xinjie,Nisar Wasif,et al. db-outlier detection algorithm using divide and conquer approach over dynamic datastream[C]. United States,2008:438-443.
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