A two-stage clustering method to analyze customer characteristics to build discriminative customer management: A case of textile manufacturing business

Expert Systems with Applications

Volumn 38, Issue 6, 2011, Pages 7186-7191

  Li, Der Chiang ^a   Dai, Wen Li ^b   Tseng, Wan Ting ^a,c  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b TAINAN UNIVERSITY OF TECHNOLOGY   (Taiwan)

^c Nam Liong Textile Enterprise Co Ltd   (Taiwan)

Author keywords

Clustering analysis; Customer lifetime value; Customer relationship management; Data mining; LRFM model

Indexed keywords

ANALYTIC METHOD; CLUSTERING ANALYSIS; COMPREHENSIVE INFORMATION; CUSTOMER CLUSTER; CUSTOMER LIFETIME VALUE; CUSTOMER RELATIONSHIP MANAGEMENT; CUSTOMER RELATIONSHIPS; LRFM MODEL; MARKETING STRATEGY; TEXTILE MANUFACTURING; TRANSACTION TIME; TWO-STAGE CLUSTERING;

CUSTOMER SATISFACTION; DATA MINING; PUBLIC RELATIONS; SALES; STRATEGIC PLANNING; TEXTILE PROCESSING; TEXTILES; VALUE ENGINEERING;

CLUSTER ANALYSIS;

EID: 79951577073     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.12.041     Document Type: Article

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