A new hybrid approach for mining breast cancer pattern using discrete particle swarm optimization and statistical method

Expert Systems with Applications

Volumn 36, Issue 4, 2009, Pages 8204-8211

  Yeh, Wei Chang ^a   Chang, Wei Wen ^a   Chung, Yuk Ying ^b  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Breast cancer; Classification rules; Discrete particle swarm optimization; Statistical method

Indexed keywords

COMPUTATIONAL COMPLEXITY; DATA MINING; INFORMATION MANAGEMENT; MINING; OPTIMIZATION; POPULATION STATISTICS; STATISTICAL METHODS; STATISTICS;

BREAST CANCER; CAUSES OF DEATHS; CLASSIFICATION RULES; DATA MINING ALGORITHMS; DATA MINING PROCESS; DISCRETE PARTICLE SWARM OPTIMIZATION; FUNDAMENTAL CONCEPTS; HIGH QUALITIES; HYBRID APPROACHES; HYBRID DATA MINING APPROACHES; MAKING DECISIONS; PARTICLE SWARMS; POSITIVE INTEGERS; RESEARCH RESULTS; SECOND PHASE; SPEED-UP; STATISTICAL METHOD; SYSTEM STRUCTURES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 60249099439     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.10.004     Document Type: Article

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