Feature selection of imbalanced gene expression microarray data

Proceedings - 2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence Networking and Parallel Distributed Computing, SNPD 2011

Volumn , Issue , 2011, Pages 73-78

  Anaissi, Ali ^a   Kennedy, Paul J ^a   Goyal, Madhu ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

cost sensitive learning; feature selection; imbalanced data; random forest

Indexed keywords

COMPLEX DATASETS; COST-SENSITIVE LEARNING; DATA SETS; GENE EXPRESSION DATA; GENE EXPRESSION MICROARRAY; IMBALANCED DATA; OVERFITTING; RANDOM FOREST ALGORITHM; RANDOM FORESTS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION TREES; DISTRIBUTED COMPUTER SYSTEMS; FORESTRY; GENE EXPRESSION; SOFTWARE ENGINEERING;

FEATURE EXTRACTION;

ALGORITHMS; COMPUTER PROGRAMS; COMPUTERS; DECISION THEORY;

EID: 81255129326     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SNPD.2011.12     Document Type: Conference Paper

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