Mining Approximate Frequent Closed Flows over Packet Streams
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-23544-3_32
Reference16 articles.
1. Aggrawal, C.C.: Data Streams: Models and Algorithms. Springer, Heidelberg (2007)
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3. Bhattacharyya, S., Madeira, A., Muthukrishnan, S., Ye, T.: How To Scalably and Accurately Skip Past Streams. In: Proceedings of the IEEE 23rd International Conference on Data Engineeringg, Istanbul, Turkey, pp. 654–663 (2007)
4. Bu, T., Cao, J., Chen, A., Lee, P.P.C.: Sequential Hashing: A Flexible Approach for Unveiling Significant Patterns in High Speed Networks. Computer Network 54(18), 3309–3326 (2010)
5. Cormode, G., Muthukrishnan, S.: An Improved Data Stream Summary: The Count-Min Sketch and its Applications. Journal of Algorithms 55(1), 58–75 (2005)
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