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» An Experimental Study of Data Migration Algorithms
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119
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ICDM
2005
IEEE
117views Data Mining» more  ICDM 2005»
15 years 9 months ago
On Learning Asymmetric Dissimilarity Measures
Many practical applications require that distance measures to be asymmetric and context-sensitive. We introduce Context-sensitive Learnable Asymmetric Dissimilarity (CLAD) measure...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
126
Voted
PVLDB
2008
123views more  PVLDB 2008»
15 years 3 months ago
Propagating functional dependencies with conditions
The dependency propagation problem is to determine, given a view defined on data sources and a set of dependencies on the sources, whether another dependency is guaranteed to hold...
Wenfei Fan, Shuai Ma, Yanli Hu, Jie Liu, Yinghui W...
154
Voted
SDM
2007
SIAM
109views Data Mining» more  SDM 2007»
15 years 5 months ago
Segmentations with Rearrangements
Sequence segmentation is a central problem in the analysis of sequential and time-series data. In this paper we introduce and we study a novel variation to the segmentation proble...
Aristides Gionis, Evimaria Terzi
133
Voted
ESWA
2006
154views more  ESWA 2006»
15 years 3 months ago
Artificial neural networks with evolutionary instance selection for financial forecasting
In this paper, I propose a genetic algorithm (GA) approach to instance selection in artificial neural networks (ANNs) for financial data mining. ANN has preeminent learning abilit...
Kyoung-jae Kim
128
Voted
BMCBI
2010
97views more  BMCBI 2010»
15 years 3 months ago
Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach
Background: For heterogeneous tissues, such as blood, measurements of gene expression are confounded by relative proportions of cell types involved. Conclusions have to rely on es...
Dirk Repsilber, Sabine Kern, Anna Telaar, Gerhard ...