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ICDM
2006
IEEE
129views Data Mining» more  ICDM 2006»
15 years 3 months ago
Getting the Most Out of Ensemble Selection
We investigate four previously unexplored aspects of ensemble selection, a procedure for building ensembles of classifiers. First we test whether adjusting model predictions to p...
Rich Caruana, Art Munson, Alexandru Niculescu-Mizi...
ICDM
2006
IEEE
131views Data Mining» more  ICDM 2006»
15 years 3 months ago
A Maximum Likelihood Approach to Noise Estimation for Intensity Measurements in Biology
Often, measurement of biological components generates results, that are corrupted by noise. Noise can be caused by various factors like the detectors themselves, sample properties...
Frank Klawonn, Claudia Hundertmark, Lothar Jä...
ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
15 years 3 months ago
Local Correlation Tracking in Time Series
We address the problem of capturing and tracking local correlations among time evolving time series. Our approach is based on comparing the local auto-covariance matrices (via the...
Spiros Papadimitriou, Jimeng Sun, Philip S. Yu
ICDM
2006
IEEE
143views Data Mining» more  ICDM 2006»
15 years 3 months ago
Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval
In this paper, we investigate the use of data mining, in particular the text classification and co-training techniques, to identify more relevant passages based on a small set of...
Xiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, ...
ICDM
2006
IEEE
115views Data Mining» more  ICDM 2006»
15 years 3 months ago
Multi-Tier Granule Mining for Representations of Multidimensional Association Rules
It is a big challenge to promise the quality of multidimensional association mining. The essential issue is how to represent meaningful multidimensional association rules efficien...
Yuefeng Li, Wanzhong Yang, Yue Xu