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PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
13 years 5 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
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
PAMI
2010
276views more  PAMI 2010»
13 years 5 months ago
Local-Learning-Based Feature Selection for High-Dimensional Data Analysis
—This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...
Yijun Sun, Sinisa Todorovic, Steve Goodison
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 7 months ago
Local decomposition for rare class analysis
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
Junjie Wu, Hui Xiong, Peng Wu, Jian Chen
BPM
2006
Springer
153views Business» more  BPM 2006»
13 years 11 months ago
Decision Mining in ProM
Process-aware Information Systems typically log events (e.g., in transaction logs or audit trails) related to the actual business process executions. Proper analysis of these execu...
Anne Rozinat, Wil M. P. van der Aalst