Discovering recency, frequency, and monetary (RFM) sequential patterns from customers' purchasing data

Electronic Commerce Research and Applications

Volumn 8, Issue 5, 2009, Pages 241-251

  Chen, Yen Liang ^a   Kuo, Mi Hao ^a   Wu, Shin Yi ^b   Tang, Kwei ^c  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^b INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE   (Taiwan)

^c PURDUE UNIVERSITY   (United States)

Author keywords

Constraint based mining; RFM; Segmentation; Sequential pattern

Indexed keywords

BROWSING HISTORY; CONSTRAINT-BASED MINING; DATA SETS; INDIVIDUAL CUSTOMERS; MANAGERIAL DECISION; NOVEL ALGORITHM; RETAIL CHAINS; RFM; SEGMENTATION; SEQUENTIAL PATTERN; SEQUENTIAL PATTERNS; SEQUENTIAL-PATTERN MINING; SYNTHETIC DATASETS; WEB BASED INFORMATION SYSTEMS;

ALGORITHMS; CUSTOMER SATISFACTION; ELECTRONIC COMMERCE; MINING; SEQUENTIAL SWITCHING;

SALES;

EID: 70349764678     PISSN: 15674223     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.elerap.2009.03.002     Document Type: Article

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