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scopus(6)
A big data approach to customer relationship management strategy in hospitality using multiple correspondence domain description
ArticleAbstract: COVID-19 has hit the hotel sector in a hitherto unknown way. This situation is producing a fundamentPalabras claves:BIG DATA, Categorical features, Customer relationship management, Domain descrip-tion, hospitality, kernel methods, Multiple correspondence analysis, StrategyAutores:González-Serrano L., Jose Luis Rojo-Álvarez, Muoz-Romero S., Soguero-Ruiz C., Talón-Ballestero P.Fuentes:scopusOn the differential benchmarking of promotional efficiency with machine learning modelling (II): Practical applications
ArticleAbstract: The assessment of promotional sales with models constructed by machine learning techniques is arousiPalabras claves:Bootstrap, Machine learning, MARKETING, Price indices, processing, Sales promotionAutores:Gimeno-Blanes F.J., Jose Luis Rojo-Álvarez, Martínez-Ruiz M.P., Mora-Jimnez I., Soguero-Ruiz C.Fuentes:scopusTowards Organization Management Using Exploratory Screening and Big Data Tests: A Case Study of the Spanish Red Cross
ArticleAbstract: With the emergence of information and communication technologies, a large amount of data has turnedPalabras claves:BIG DATA, Machine learning, organization efficiency, organization management, pbkp_rediction modelAutores:Gimeno-Blanes F.J., Jose Luis Rojo-Álvarez, Muoz-Romero S., Rodríguez-Ibáñez M., Soguero-Ruiz C.Fuentes:scopusUsing big data from Customer Relationship Management information systems to determine the client profile in the hotel sector
ArticleAbstract: Client knowledge remains a key strategic point in hospitality management. However, the role that canPalabras claves:BIG DATA, bootstrap resampling, Client profile, Customer relationship management, Hospitality industry, Hotel chainsAutores:González-Serrano L., Jose Luis Rojo-Álvarez, Muoz-Romero S., Soguero-Ruiz C., Talón-Ballestero P.Fuentes:scopuson the differential analysis of enterprise valuation methods as a guideline for unlisted companies assessment (II): Applying machine-learning techniques for unbiased enterprise value assessment
ArticleAbstract: The search for an unbiased company valuation method to reduce uncertainty, whether or not it is autoPalabras claves:Bagging trees, Boosting Trees, Company valuation, Decision Trees, enterprise value, feature selection, Machine learning, Non-linear regression techniques, Supervised techniques, Supported vector machineAutores:Germania Vayas-Ortega, Gimeno-Blanes F.J., Jose Luis Rojo-Álvarez, Rodríguez-Ibáñez M., Soguero-Ruiz C.Fuentes:scopusStatistical nonlinear analysis for reliable promotion decision-making
ArticleAbstract: New economic conditions have led to innovations in retail industries, such as more dynamic retail apPalabras claves:Aggregated data, Decision Support, Nonlinear methods, Nonparametric bootstrap, Promotion sales, RetailerAutores:Gimeno-Blanes F.J., Jose Luis Rojo-Álvarez, Martínez-Ruiz M.P., Mora-Jimnez I., Soguero-Ruiz C.Fuentes:scopus