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» A rough set approach to multiple dataset analysis
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112
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AI
2011
Springer
14 years 1 months ago
Using a Heterogeneous Dataset for Emotion Analysis in Text
In this paper, we adopt a supervised machine learning approach to recognize six basic emotions (anger, disgust, fear, happiness, sadness and surprise) using a heterogeneous emotion...
Soumaya Chaffar, Diana Inkpen
74
Voted
SCANGIS
2003
14 years 11 months ago
Matching of Datasets
A multiple representation database contains several geographic datasets defined at different resolutions covering the same area. Objects within the different datasets that repre...
Mats Dunkars
96
Voted
KES
2006
Springer
14 years 9 months ago
Evolutionary Tuning of Combined Multiple Models
Abstract. In data mining, hybrid intelligent systems present a synergistic combination of multiple approaches to develop the next generation of intelligent systems. Our paper prese...
Gregor Stiglic, Peter Kokol
DKE
2007
88views more  DKE 2007»
14 years 9 months ago
Regression analysis for massive datasets
In this paper, a two-stage block hypothesis testing following the idea of Fan, Lin and Cheng (2004) is proposed for massive data regression analysis. Variables selection criteria ...
Tsai-Hung Fan, Dennis K. J. Lin, Kuang-Fu Cheng
80
Voted
BMCBI
2010
95views more  BMCBI 2010»
14 years 9 months ago
Modelling p-value distributions to improve theme-driven survival analysis of cancer transcriptome datasets
Background: Theme-driven cancer survival studies address whether the expression signature of genes related to a biological process can predict patient survival time. Although this...
Esteban Czwan, Benedikt Brors, David Kipling