Two novel interestingness measures for gene association rule mining

Neural Computing and Applications

Volumn 23, Issue 3-4, 2013, Pages 835-841

  Wang, Meihua ^a   Wu, Shumin ^a   Cai, Ruichu ^b,c  

^a SOUTH CHINA AGRICULTURAL UNIVERSITY   (China)

^b GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

^c NANJING UNIVERSITY   (China)

Author keywords

Association rule; Chromosomal distance; Interestingness measure; KEGG pathway

Indexed keywords

BIOLOGICAL DATABASE; CHROMOSOMAL DISTANCE; CLASSIFICATION ACCURACY; GENE EXPRESSION DATA; GENE EXPRESSION DATA ANALYSIS; GENE EXPRESSION DATASETS; INTERESTINGNESS MEASURES; KEGG PATHWAYS;

CHROMOSOMES; CLASSIFICATION (OF INFORMATION); GENE EXPRESSION;

ASSOCIATION RULES;

EID: 84884592612     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-012-1005-3     Document Type: Article

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