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» Data streams: algorithms and applications
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KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 6 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu
GRID
2006
Springer
15 years 6 months ago
Stream processing in data-driven computational science
The use of real-time data streams in data-driven computational science is driving the need for stream processing tools that work within the architectural framework of the larger ap...
Ying Liu, Nithya N. Vijayakumar, Beth Plale
ESA
2007
Springer
117views Algorithms» more  ESA 2007»
16 years 15 days ago
Estimating Clustering Indexes in Data Streams
Luciana S. Buriol, Gereon Frahling, Stefano Leonar...
MEMOCODE
2006
IEEE
16 years 10 days ago
A scenario-aware data flow model for combined long-run average and worst-case performance analysis
Data flow models are used for specifying and analysing signal processing and streaming applications. However, traditional data flow models are either not capable of expressing t...
Bart D. Theelen, Marc Geilen, Twan Basten, Jeroen ...
DATE
2008
IEEE
171views Hardware» more  DATE 2008»
16 years 24 days ago
Cache Aware Mapping of Streaming Applications on a Multiprocessor System-on-Chip
Efficient use of the memory hierarchy is critical for achieving high performance in a multiprocessor systemon-chip. An external memory that is shared between processors is a bottl...
Arno Moonen, Marco Bekooij, Rene van den Berg, Jef...