Customer Clustering Based on Customer Purchasing Sequence Data
نویسندگان
چکیده
منابع مشابه
CUSTOMER CLUSTERING BASED ON FACTORS OF CUSTOMER LIFETIME VALUE WITH DATA MINING TECHNIQUE
Organizations have used Customer Lifetime Value (CLV) as an appropriate pattern to classify their customers. Data mining techniques have enabled organizations to analyze their customers’ behaviors more quantitatively. This research has been carried out to cluster customers based on factors of CLV model including length, recency, frequency, and monetary (LRFM) through data mining. Based on LRFM,...
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In several empirical applications analyzing customer-by-product choice data, it may be relevant to partition individuals having similar purchase behavior in homogeneous segments. Moreover, should individualand/or product-specific covariates be available, their potential effects on the probability to choose certain products may be also investigated. A model for joint clustering of statistical un...
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Classification and patterns extraction from customer data is very important for business support and decision making. Timely identification of newly emerging trends is very important in business process. Large companies are having huge volume of data but starving for knowledge. To overcome the organization current issue, the new breed of technique is required that has intelligence and capabilit...
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Competitiveness based on customer interaction is the baseline for strategies such as customization, postponement and customer-driven manufacturing. The emphasis is on the interface between a focal actor and the customer. The approach may however have implications that explicitly influence the suppliers of the focal actor and this is the core theme of customer-driven purchasing. The method for c...
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ژورنال
عنوان ژورنال: International Journal of Engineering Research and Applications
سال: 2017
ISSN: 2248-9622,2248-9622
DOI: 10.9790/9622-0701014958