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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:scopusEntropic statistical description of big data quality in hotel customer relationship management
ArticleAbstract: Customer Relationship Management (CRM) is a fundamental tool in the hospitality industry nowadays, wPalabras claves:BIG DATA, Customer relationship management, Duplicate detection, entropy, Hospitality industry, Levenshtein distance, Mass density function, mutual information, name matching, X-from-M strategyAutores:González-Serrano L., Jose Luis Rojo-Álvarez, Muoz-Romero S., Soguero-Ruiz C., Talón-Ballestero P.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:scopus