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» Data Mining: Machine Learning, Statistics, and Databases
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118
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CORR
2012
Springer
202views Education» more  CORR 2012»
13 years 9 months ago
Mining Flipping Correlations from Large Datasets with Taxonomies
In this paper we introduce a new type of pattern – a flipping correlation pattern. The flipping patterns are obtained from contrasting the correlations between items at diffe...
Marina Barsky, Sangkyum Kim, Tim Weninger, Jiawei ...
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
16 years 2 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 years 3 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
111
Voted
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 2 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
117
Voted
KDD
2009
ACM
169views Data Mining» more  KDD 2009»
15 years 8 months ago
On burstiness-aware search for document sequences
As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching su...
Theodoros Lappas, Benjamin Arai, Manolis Platakis,...