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» A Fully Distributed Framework for Cost-Sensitive Data Mining
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PAKDD
2005
ACM
128views Data Mining» more  PAKDD 2005»
14 years 1 months ago
A Framework for Incorporating Class Priors into Discriminative Classification
Abstract. Discriminative and generative methods provide two distinct approaches to machine learning classification. One advantage of generative approaches is that they naturally mo...
Rong Jin, Yi Liu
CCGRID
2009
IEEE
14 years 2 months ago
Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
Vignesh T. Ravi, Gagan Agrawal
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 10 months ago
Unsupervised feature selection for linked social media data
The prevalent use of social media produces mountains of unlabeled, high-dimensional data. Feature selection has been shown effective in dealing with high-dimensional data for eï¬...
Jiliang Tang, Huan Liu
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
14 years 1 months ago
Semi-supervised Clustering Using Bayesian Regularization
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang
VLDB
2005
ACM
81views Database» more  VLDB 2005»
14 years 1 months ago
Flexible Database Generators
Evaluation and applicability of many database techniques, ranging from access methods, histograms, and optimization strategies to data normalization and mining, crucially depend o...
Nicolas Bruno, Surajit Chaudhuri