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» Performance Measurements for Privacy Preserving Data Mining
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224
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BMCBI
2006
198views more  BMCBI 2006»
15 years 4 months ago
Gene selection and classification of microarray data using random forest
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
Ramón Díaz-Uriarte, Sara Alvarez de ...
158
Voted
WSDM
2010
ACM
227views Data Mining» more  WSDM 2010»
16 years 2 months ago
Folks in folksonomies: Social link prediction from shared metadata
Web 2.0 applications have attracted a considerable amount of attention because their open-ended nature allows users to create lightweight semantic scaffolding to organize and shar...
Rossano Schifanella, Alain Barrat, Ciro Cattuto, B...
174
Voted
TVCG
2010
208views more  TVCG 2010»
15 years 3 months ago
Example-Based Human Motion Denoising
—With the proliferation of motion capture data, interest in removing noise and outliers from motion capture data has increased. In this paper, we introduce an efficient human mo...
Hui Lou, Jinxiang Chai
PAKDD
2011
ACM
253views Data Mining» more  PAKDD 2011»
14 years 7 months ago
Balance Support Vector Machines Locally Using the Structural Similarity Kernel
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
Jianxin Wu
152
Voted
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 5 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos