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» Mining Several Data Bases with an Ensemble of Classifiers
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KDD
2009
ACM
203views Data Mining» more  KDD 2009»
14 years 9 months ago
Characterizing individual communication patterns
The increasing availability of electronic communication data, such as that arising from e-mail exchange, presents social and information scientists with new possibilities for char...
R. Dean Malmgren, Jake M. Hofman, Luis A. N. Amara...
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 9 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
ICDM
2009
IEEE
132views Data Mining» more  ICDM 2009»
14 years 3 months ago
Bayesian Overlapping Subspace Clustering
Given a data matrix, the problem of finding dense/uniform sub-blocks in the matrix is becoming important in several applications. The problem is inherently combinatorial since th...
Qiang Fu, Arindam Banerjee
BMCBI
2010
153views more  BMCBI 2010»
13 years 9 months ago
Automatic symptom name normalization in clinical records of traditional Chinese medicine
Background: In recent years, Data Mining technology has been applied more than ever before in the field of traditional Chinese medicine (TCM) to discover regularities from the exp...
Yaqiang Wang, Zhonghua Yu, Yongguang Jiang, Kaikuo...
IJCAI
1989
13 years 10 months ago
Noise-Tolerant Instance-Based Learning Algorithms
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
David W. Aha, Dennis F. Kibler