Customer grouping for better resources allocation using GA based clustering technique

Expert Systems with Applications

Volumn 39, Issue 2, 2012, Pages 1979-1987

  Ho, G T S ^a   Ip, W H ^a   Lee, C K M ^b   Mou, W L ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Customer grouping; Genetic algorithms; k Means; Resource allocation

Indexed keywords

APPROXIMATE OPTIMAL SOLUTIONS; CLUSTERING TECHNIQUES; COMMON FEATURES; CUSTOMER GROUPING; FIXED NUMBERS; GA BASED CLUSTERING; K-MEANS; K-MEANS ALGORITHM; K-MEANS CLUSTERING ALGORITHM; MS EXCEL; OPERATIONAL ASPECTS; RESOURCE UTILIZATIONS; RESOURCES ALLOCATION; ROBUST GENETIC ALGORITHMS;

CUSTOMER SATISFACTION; DECISION MAKING; GENETIC ALGORITHMS; RESOURCE ALLOCATION; SALES;

CLUSTERING ALGORITHMS;

EID: 80054913362     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.08.045     Document Type: Conference Paper

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