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» Hybrid Learning Scheme for Data Mining Applications
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IRI
2008
IEEE
14 years 2 months ago
Compound record clustering algorithm for design pattern detection by decision tree learning
Recovering design patterns applied in a system can help refactoring the system. Machine learning algorithms have been successfully applied in mining data patterns. However, one of...
Jing Dong, Yongtao Sun, Yajing Zhao
KDD
2012
ACM
183views Data Mining» more  KDD 2012»
11 years 10 months ago
Mining discriminative components with low-rank and sparsity constraints for face recognition
This paper introduces a novel image decomposition approach for an ensemble of correlated images, using low-rank and sparsity constraints. Each image is decomposed as a combination...
Qiang Zhang, Baoxin Li
ADMA
2010
Springer
271views Data Mining» more  ADMA 2010»
13 years 2 months ago
Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization
We introduce a novel approach to incremental e-mail categorization based on identifying and exploiting "clumps" of messages that are classified similarly. Clumping reflec...
Alfred Krzywicki, Wayne Wobcke
SIGSOFT
2010
ACM
13 years 5 months ago
Software is data too
Software systems are designed and engineered to process data. However, software is data too. The size and variety of today's software artifacts and the multitude of stakehold...
Andrian Marcus, Tim Menzies
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 9 months ago
Roughly Balanced Bagging for Imbalanced Data
Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...
Shohei Hido, Hisashi Kashima