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» Measuring the Quality of Approximated Clusterings
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IS
2008
15 years 1 months ago
A dimensionality reduction technique for efficient time series similarity analysis
We propose a dimensionality reduction technique for time series analysis that significantly improves the efficiency and accuracy of similarity searches. In contrast to piecewise c...
Qiang Wang, Vasileios Megalooikonomou
AICT
2007
IEEE
180views Communications» more  AICT 2007»
15 years 8 months ago
BPTraSha: A Novel Algorithm for Shaping Bursty Nature of Internet Traffic
Various researchers have reported that traffic measurements demonstrate considerable burstiness on several time scales, with properties of self-similarity. Also, the rapid developm...
Karim Mohammed Rezaul, Vic Grout
TCBB
2010
136views more  TCBB 2010»
15 years 10 days ago
Integrating Data Clustering and Visualization for the Analysis of 3D Gene Expression Data
— The recent development of methods for extracting precise measurements of spatial gene expression patterns from three-dimensional (3D) image data opens the way for new analyses ...
Oliver Rübel, Gunther H. Weber, Min-Yu Huang,...
JODL
2006
131views more  JODL 2006»
15 years 1 months ago
Keyframe-based video summarization using Delaunay clustering
Recent advances in technology have made tremendous amount of multimedia information available to the general population. An efficient way of dealing with this new development is t...
Padmavathi Mundur, Yong Rao, Yelena Yesha
ECRTS
2009
IEEE
14 years 11 months ago
Generalized Tardiness Quantile Metric: Distributed DVS for Soft Real-Time Web Clusters
Performing QoS (Quality of Service) control in large computing systems requires an on line metric that is representative of the real state of the system. The Tardiness Quantile Me...
Luciano Bertini, Julius C. B. Leite, Daniel Moss&e...