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FLAIRS
2008
13 years 10 months ago
Building Useful Models from Imbalanced Data with Sampling and Boosting
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van H...
CASES
2008
ACM
13 years 10 months ago
Efficient vectorization of SIMD programs with non-aligned and irregular data access hardware
Automatic vectorization of programs for partitioned-ALU SIMD (Single Instruction Multiple Data) processors has been difficult because of not only data dependency issues but also n...
Hoseok Chang, Wonyong Sung
CIKM
2008
Springer
13 years 10 months ago
On effective presentation of graph patterns: a structural representative approach
In the past, quite a few fast algorithms have been developed to mine frequent patterns over graph data, with the large spectrum covering many variants of the problem. However, the...
Chen Chen, Cindy Xide Lin, Xifeng Yan, Jiawei Han
CASES
2005
ACM
13 years 10 months ago
Hardware support for code integrity in embedded processors
Computer security becomes increasingly important with continual growth of the number of interconnected computing platforms. Moreover, as capabilities of embedded processors increa...
Milena Milenkovic, Aleksandar Milenkovic, Emil Jov...
DIS
2006
Springer
13 years 10 months ago
Change Detection with Kalman Filter and CUSUM
Knowledge discovery systems are constrained by three main limited resources: time, memory and sample size. Sample size is traditionally the dominant limitation, but in many present...
Milton Severo, João Gama
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