Fast Clustering of Self-Similar Network Traffic Using Wavelet

Download Now Date Added: May 2010
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In this paper the authors have given the proposed approximation methods for similarity search in large temporal databases using wavelet transformation based featured signals and time warping distance algorithm. The main goal is to propose efficient methods to speed up the mining of matched sequences especially when the sequences are of random lengths and traditional distance metrics like Euclidean distance fail to achieve the desire goals. They proposed two methods for truncation of databases for optimizing search procedures for similarities using the concept of wavelet based featured time warping.