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TJS
2010
182views more  TJS 2010»
14 years 8 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
FPL
2008
Springer
116views Hardware» more  FPL 2008»
14 years 11 months ago
NOC architecture design for multi-cluster chips
For the next generation of multi-core processors, the onchip interconnection networks must be efficient to achieve high data throughput and performance. Moreover, these interconne...
Henrique C. Freitas, Philippe Olivier Alexandre Na...
TOG
2012
230views Communications» more  TOG 2012»
13 years 10 days ago
Decoupling algorithms from schedules for easy optimization of image processing pipelines
Using existing programming tools, writing high-performance image processing code requires sacrificing readability, portability, and modularity. We argue that this is a consequenc...
Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris...
ICPADS
2006
IEEE
15 years 3 months ago
Oriented Overlays For Clustering Client Requests To Data-Centric Network Services
Many of the data-centric network services deployed today hold massive volumes of data at their origin websites, and access the data to dynamically generate responses to user reque...
Congchun He, Vijay Karamcheti
BMCBI
2004
150views more  BMCBI 2004»
14 years 9 months ago
SS-Wrapper: a package of wrapper applications for similarity searches on Linux clusters
Background: Large-scale sequence comparison is a powerful tool for biological inference in modern molecular biology. Comparing new sequences to those in annotated databases is a u...
Chunlin Wang, Elliot J. Lefkowitz