2011
DOI: 10.1016/j.elerap.2010.11.002
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Customer segmentation of multiple category data in e-commerce using a soft-clustering approach

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Cited by 141 publications
(52 citation statements)
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“…In the past decades, numerous business-related customer-clustering approaches were conducted. Wu and Chou (2011) established good customer relations and refined their marketing strategies to match customer expectations. They developed a latent mixed-class membership clustering approach to classify online customers based on the purchasing data across categories.…”
Section: Literature Reviewmentioning
confidence: 98%
“…In the past decades, numerous business-related customer-clustering approaches were conducted. Wu and Chou (2011) established good customer relations and refined their marketing strategies to match customer expectations. They developed a latent mixed-class membership clustering approach to classify online customers based on the purchasing data across categories.…”
Section: Literature Reviewmentioning
confidence: 98%
“…Durante los últimos 15 años han sido muchos los investigadores que han centrado su atención en el comercio online (Kau et al, 2003;Bhatnagar y Ghose, 2004a, 2004bWu y Chou, 2011) por lo que en su definición existe un cierto acuerdo generalizado, pudiendo caracterizarse por el uso de Internet (a partir de un medio online) para vender, comprar e intercambiar bienes y servicios. Se trata de un sistema que facilita y permite la realización de transacciones entre consumidores y empresas (Kotler y Keller, 2006).…”
Section: La Compra Online Y Móvil Vs La Compra Offlineunclassified
“…The data sets generated by online transitions can be complex in nature (due to the quantity and variety of variables) and size, which lead to new methodological solutions having to be tested to cope with those large databases. The application of algorithms from the fields of data mining and artificial intelligence enables new insights to be gained or makes some analyses possible which would not be viable otherwise [13,14,43].…”
Section: Introductionmentioning
confidence: 99%