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» Massive Data Pre-Processing with a Cluster Based Approach
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ISPA
2004
Springer
14 years 1 months ago
HPL Performance Prevision to Intending System Improvement
HPL is a parallel Linpack benchmark package widely adopted in massive cluster system performance test. On HPL data layout among processors, a law to determine block size NB theoret...
Wenli Zhang, Mingyu Chen, Jianping Fan
ICTAI
2005
IEEE
14 years 2 months ago
Cellular Ants: Combining Ant-Based Clustering with Cellular Automata
This paper proposes a novel data clustering algorithm, coined ‘cellular ants’, which combines principles of cellular automata and ant colony optimization algorithms to group s...
Andrew Vande Moere, Justin James Clayden
JSW
2008
240views more  JSW 2008»
13 years 8 months ago
A Secure e-Health Architecture based on the Appliance of Pseudonymization
Due to the cost pressure on the health care system an increase in the need for electronic healthcare records (EHR) could be observed in the last decade, because EHRs promise massiv...
Bernhard Riedl, Veronika Grascher, Thomas Neubauer
ISPASS
2006
IEEE
14 years 2 months ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder
PKDD
2004
Springer
277views Data Mining» more  PKDD 2004»
14 years 1 months ago
Scalable Density-Based Distributed Clustering
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle