APPLICATION OF ASSOCIATION RULES ON MICRO-SERVICES IN MICRO-ENTERPRISES
INVESTIGATION ARTICLE
Keywords:
Association rules, recommender system, engine, microservicesAbstract
The microenterprises are a technologically neglected group due to their limited resources and lack of technological knowledge that in many cases prevent their growth as a business. This research is based in a data mining structure with association rules that offers shopping suggestions using a mobile device and implementing up-selling and cross-selling tactics, given those points, the design of the proposal is based on the process of generation of data mining models and culminates with the validation and implementation of rules for the association of microservices or servers by a web service, this service architecture is developed in Node. js, and it connects with a PostgreSQL database, while the mobile application was developed on Ionic framework, such that it is available for several platforms. Additionally, the mobile tool presents a contribution to informal businesses, where a seller serves customers directly and provides purchase alternatives increasing their sales by a percentage close to 25%. Similarly, other less tangible benefits such as improving customer service in the businesses without technological infrastructure.
Keywords: Association rules, recommender system, engine, microservices.
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References
, I. (2017). ISO25000. (ISO25000) Recuperado el 01 de 09 de 2017, de http://iso25000.com/index.php/normas-iso-25000/iso-25010
Benito Hernández, S. (2009). Las redes de cooperación de microempresas en España y la utilización de las TIC's. CIRIEC-España, Revista de Economía Pública, Social y Cooperativa, 59-84.
CHANG TAN, Q. L. (2014). Object-Oriented Travel Package Recommendation. ACM Transactions on
Chris Cornelis, J. L. (2007). One-and-only item recommendation with fuzzy logic techniques. Information Sciences, 906–4921.
Comercio, E. (8 de junio de 2017). Nuevo Tarqui, en la ciudad de Manta, cambió el rostro al comercio. Obtenido de El Comercio: http://www.elcomercio.com/actualidad/tarqui-manta-comercio-terremoto-vendedores.html
Dianshuang Wu, G. Z. (2013). A Fuzzy Tree Similarity Measure and Its Application in TelecomProduct Recommendation. IEEE International Conference, 3483-3488.
Dryfty. (01 de 09 de 2017). Ionic Framework. (Ionic Enterprise) Obtenido de https://ionicframework.com/
Edgar JuliánGálvez Albarracín, S. C. (2014). Influencia de las tecnologías de la información y comunicación en el rendimiento de las micro, pequeñas y medianas empresas colombianas. Estudios Gerenciales, 355–364.
Ignacio Apella, O. A. (2008). Aportes a una nueva visión de la informalidad laboral en la Argentina. Buenos Aires: Banco Mundial; Ministerio de Trabajo, Empleo y Seguridad Social. Intelligent Systems and Technology, 43.
Jie Bao, Y. Z. (2012). Location-based and Preference-Aware Recommendation UsingSparse Geo-Social Networking Data. Proceedings of the 20th international conference on advances in geographic information systems (págs. 199-208). Redondo Beach, CA, USA: ACM.
López, H. R. (2017). Estudio del Comportamiento en Compras de Clientes de Manabí en una Empresa de Retail un año después del terremoto. INNOVA Research Journal, 126-134.
Mireya Flores Jaén, L. R. (2016). Características de las Pymes familiares en la ciudad de Quevedo. Ecuador. 494-508.
Monica Orozco, G. Q. (19 de 07 de 2015). El 82% de pymes de Ecuador accede a Internet, pero su uso se limitaa enviar correos y tareas administrativas. pág. 23.
Navarro, P. (03 de 01 de 2018). las 10 mejores tablets baratas 2018. Obtenido de Comprar Una Tablet: https://comprarunatablet.net/tablets-baratas/
Philippe Fournier-Viger, A. G.-W. (2014). SPMF: A Java Open-Source Pattern Mining Library. Journal of Machine Learning Research, 3569-3573.
Philippe Fournier-Viger, J. C.-W. (2016). The SPMF open-source data mining library version 2. ECML PKDD (págs. 36-40). Conference Center, Riva del Garda: Springer International Publishing.
School, X. Y. (2017). An improved Apriori algorithm for mining association rules. AIP Conference Proceedings, 080005(1820), 1-6.
Universo, E. (29 de Julio de 2016). El comercio fue el más afectado tras el sismo de 7,8 en Ecuador. Obtenido de El Universo: https://www.eluniverso.com/noticias/2016/07/29/nota/5714052/comercio-fue-mas-afectado-tras-sismo-78
Youcef Djenouri, M. C. (2017). SS-FIM: Single Scan for Frequent Itemsets Mining in Transactional Databases. PAKDD (págs. 644–654). Jeju, South Korea: Springer International Publishing.
