Web usage mining to improve the design of an e-commerce website: OrOliveSur.com

Carmona, C. J.; Ramírez-Gallego, Sergio; Torres, F.; Jurado, Enrique Bernal; García, Salvador

doi:10.1016/j.eswa.2012.03.046

Cited by 110 publications

(35 citation statements)

References 25 publications

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“…Sin embargo, con el advenimiento de Internet a mediados de los años 90 comenzó refiriéndose principalmente a la venta de productos y servicios en Internet, básicamente mediante pago electrónico. La cantidad de comercio realizado por medios electrónicos ha crecido extraordinariamente desde la difusión de Internet [5]. Una gran variedad de comercio se realiza de esta manera, estimulando la creación y utilización de innovaciones como la transferencia electrónica de fondos, la gestión de la cadena de suministro, marketing en Internet, el procesamiento de transacciones en línea, intercambio electrónico de datos, sistemas de gestión de inventario y recopilación de datos automatizada.…”

Section: Fundamentación Del Comerciounclassified

“…También debe contemplar en su funcionalidad aspectos clave en el contexto de la Web 2.0: redes sociales en virtud de las posibilidades de interacción dinámica con clientes e interesados [11], analítica web como herramienta de toma de decisiones a partir de indicadores de accesibilidad en la Web [5], mercadeo en línea, computación en la nube como infraestructura tecnológica disponible con moderada inversión [12], social media, reglas y procesos de negocio y gestión de conocimiento [13].…”

Section: Fundamentación Del Comerciounclassified

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Modelo de implementación de soluciones de comercio electrónico

Bermúdez

García

Giraldo

2013

rev.ing.univ.Medellin

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RESUMENEl auge del comercio electrónico en la industria mundial y su impacto en la estructura organizacional, han llevado al desarrollo de múltiples soluciones informáticas de manera paralela al comercio tradicional. La incursión en comercio electrónico requiere evaluar condiciones iniciales en la empresa para lograr su éxito. Con el objetivo de disminuir el fracaso que implican inversiones no planificadas en tecnología, se presenta en este artículo de reflexión, un modelo de evaluación de aspectos críticos al momento de implementar una solución de comercio electrónico. La propuesta tiene un enfoque integral sustentado en instrumentos cualitativos y cuantitativos útiles en el diagnóstico.Palabras clave: comercio electrónico, estrategia de negocio, analítica web, ERP,

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Section: Fundamentación Del Comerciounclassified

Modelo de implementación de soluciones de comercio electrónico

Bermúdez

García

Giraldo

2013

rev.ing.univ.Medellin

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“…Recent work has also applied similar techniques to those in this paper. GAs have mined sequence rules in Web log data (Tug et al, 2006) and have also performed subgroup discovery (Carmona et al, 2012). Fuzzy sets have been used to represent the time spent viewing Web pages for fuzzy association rules (Wong et al, 2001) and fuzzy sequence rules (Hong et al, 2002).…”

Section: Related Workmentioning

confidence: 99%

Web usage mining with evolutionary extraction of temporal fuzzy association rules

Matthews¹,

Góngora²,

Hopgood³

et al. 2013

Knowledge-Based Systems

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In Web usage mining, fuzzy association rules that have a temporal property can provide useful knowledge about when associations occur. However, there is a problem with traditional temporal fuzzy association rule mining algorithms. Some rules occur at the intersection of fuzzy sets' boundaries where there is less support (lower membership), so the rules are lost. A genetic algorithm (GA)-based solution is described that uses the flexible nature of the 2-tuple linguistic representation to discover rules that occur at the intersection of fuzzy set boundaries. The GA-based approach is enhanced from previous work by including a graph representation and an improved fitness function. A comparison of the GA-based approach with a traditional approach on real-world Web log data discovered rules that were lost with the traditional approach. The GA-based approach is recommended as complementary to existing algorithms, because it discovers extra rules.

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“…Liao, et al [2] conducted an analysis of customer behavior on the Carrefour website to attract more customers by expanding the features of the website and increase product bundling information in order to offer more choices to customers. Analysis of customer behavior was also carried out by Carmona [3] to improve the design of e-commerce website www.OrOliveSur. com.…”

Section: Introductionmentioning

confidence: 99%

Research Methodology for Analysis of E-Commerce User Activity Based on User Interest using Web Usage Mining

2018

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Abstract. Visitor interaction with e-commerce websites generates large amounts of clickstream data stored in web access logs. From a business standpoint, clickstream data can be used as a means of finding information on user interest. In this paper, the authors propose a method to find user interest in products offered on e-commerce websites based on web usage mining of clickstream data. In this study, user interest was investigated using the PIE approach coupled with clustering and classification techniques. The experimental results showed that the method is able to assist in analyzing visitor behavior and user interest in ecommerce products by identifying those products that prompt visitor interest.

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Web usage mining to improve the design of an e-commerce website: OrOliveSur.com

Cited by 110 publications

References 25 publications

Modelo de implementación de soluciones de comercio electrónico

Modelo de implementación de soluciones de comercio electrónico

Web usage mining with evolutionary extraction of temporal fuzzy association rules

Research Methodology for Analysis of E-Commerce User Activity Based on User Interest using Web Usage Mining

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