Combining unsupervised and supervised data mining techniques for conducting customer portfolio analysis

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

Volumn 6171 LNAI, Issue , 2010, Pages 292-307

  Yao, Zhiyuan ^a   Holmbom, Annika H ^a   Eklund, Tomas ^a   Back, Barbro ^a  

^a ÅBO AKADEMI UNIVERSITY   (Finland)

Author keywords

customer portfolio analysis (CPA); Customer relationship management (CRM); decision trees; Self organizing maps (SOM); Ward's clustering

Indexed keywords

CUSTOMER RELATIONSHIP MANAGEMENT; CUSTOMER RELATIONSHIP MANAGEMENT (CRM); CUSTOMERBASE; DATA MINING TECHNIQUES; DATA MINING TECHNOLOGY; DECISION MAKING PROCESS; HIDDEN INFORMATION; HYBRID APPROACH; INFORMATION AGE; LARGE DATA; MARKETING STRATEGY; PORTFOLIO ANALYSIS; TWO-LEVEL APPROACH; TWO-LEVEL MODELS; WARD'S CLUSTERING;

CLUSTER ANALYSIS; CONFORMAL MAPPING; CUSTOMER SATISFACTION; DATA WAREHOUSES; DECISION TREES; PUBLIC RELATIONS; SALES; SELF ORGANIZING MAPS; STRATEGIC PLANNING;

DATA MINING;

EID: 77954868860     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14400-4_23     Document Type: Conference Paper

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