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» Mining Prediction Rules from Minority Classes
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CIKM
2006
Springer
13 years 11 months ago
Multi-evidence, multi-criteria, lazy associative document classification
We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...
FQAS
2006
Springer
101views Database» more  FQAS 2006»
13 years 11 months ago
Cooperative Discovery of Interesting Action Rules
Action rules introduced in [12] and extended further to e-action rules [21] have been investigated in [22], [13], [20]. They assume that attributes in a database are divided into t...
Agnieszka Dardzinska, Zbigniew W. Ras
BMCBI
2010
114views more  BMCBI 2010»
13 years 7 months ago
An integrative modular approach to systematically predict gene-phenotype associations
Background: Complex human diseases are often caused by multiple mutations, each of which contributes only a minor effect to the disease phenotype. To study the basis for these com...
Michael R. Mehan, Juan Nunez-Iglesias, Chao Dai, M...
PKDD
2004
Springer
97views Data Mining» more  PKDD 2004»
14 years 29 days ago
Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources
Attribute noise can affect classification learning. Previous work in handling attribute noise has focused on those predictable attributes that can be predicted by the class and o...
Ying Yang, Xindong Wu, Xingquan Zhu
CORR
2010
Springer
74views Education» more  CORR 2010»
13 years 7 months ago
Significance of Classification Techniques in Prediction of Learning Disabilities
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
Julie M. David, Kannan Balakrishnan