KDE based outlier detection on distributed data streams in multimedia network

Author:

Zheng Zhigao,Jeong Hwa-Young,Huang Tao,Shu Jiangbo

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference38 articles.

1. Aggarwal CC, Han J-w, Wang J-y et al (2004) A frame-work for projected clustering of high dimensional data streams.// Proceedings of the 30th International Conference on Very Large Data Bases. Toronto, pp 852–863

2. Armbrust M, Fox A, Gri th R, Joseph A, Katz R, Konwinski A, Lee G, Patterson D, Rabkin A, Stoica I et al (2009) Abovethe clouds: A berkeley view of cloud computing. EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2009-28

3. Assent I et al (2012) Anyout: anytime outlier detection on streaming data. Database Systems for Advanced Applications. Springer, Berlin

4. Bifet A, Holmes G, Kirkby R, Pfahringer B (2011) Data stream mining: a practical approach. The University of Waikato, Hamilton

5. Botev ZI, Grotowski JF, Kroese DP (2010) Kernel density estimation via diffusion[J]. Ann Stat 38(5):2916–2957

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