Relevant attribute discovery in high dimensional data: Application to breast cancer gene expressions

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4062 LNAI, Issue , 2006, Pages 482-489

  Valdés, Julio J ^a   Barton, Alan J ^a  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

Breast cancer; Clustering; Cross validation; Gene expression programming; Grid computing; Microarray data; Reducts; Rough sets; Rules; Virtual reality

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DISTRIBUTED COMPUTER SYSTEMS; GENETIC ENGINEERING; ROUGH SET THEORY; TUMORS; VIRTUAL REALITY;

BREAST CANCER; CLUSTERING; CROSS VALIDATION; GENE EXPRESSION PROGRAMMING; GRID COMPUTING; MICROARRAY DATA; REDUCTS; ROUGH SETS; RULES;

DATA MINING;

EID: 33746777784     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11795131_70     Document Type: Conference Paper

References (12)

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