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» Discovering Case Knowledge Using Data Mining
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SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
13 years 11 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
ICIAP
1999
ACM
14 years 2 months ago
SAR Image Processing Using Artificial Intelligence Planning
—In recent times, improvements in imaging technology have made available an incredible array of information in image format. While powerful and sophisticated image processing sof...
Forest Fisher, Steve A. Chien, Edisanter Lo, Ronal...
GIS
2008
ACM
14 years 11 months ago
Finding regional co-location patterns for sets of continuous variables in spatial datasets
This paper proposes a novel framework for mining regional colocation patterns with respect to sets of continuous variables in spatial datasets. The goal is to identify regions in ...
Christoph F. Eick, Jean-Philippe Nicot, Rachana Pa...
BMCBI
2006
170views more  BMCBI 2006»
13 years 10 months ago
Biclustering of gene expression data by non-smooth non-negative matrix factorization
Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
Pedro Carmona-Saez, Roberto D. Pascual-Marqui, Fra...
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
14 years 3 months ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han