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2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022(2)
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Advances in Intelligent Systems and Computing(1)
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An analysis method for pbkp_redicting breast cancer using data science processes and machine learning
Conference ObjectAbstract: In two decades, the number of people with breast cancer has almost doubled: in 2000, about 10 millioPalabras claves:Autores:John Xavier Farez Villa, Juan Jose Cordova Calle, Remigio Hurtado OrtizFuentes:googlescopusA data analytics method based on data science and machine learning for bank risk pbkp_rediction in cbkp_redit applications for financial institutions
Conference ObjectAbstract: Nowadays, banks grant cbkp_redits so that customers can acquire a good or service, start or improvePalabras claves:Autores:Edisson Salinas Jara, Johnny Maisincho Panjon, Ortiz J.H., Remigio Hurtado OrtizFuentes:scopusA new recommendation approach based on probabilistic soft clustering methods: A scientific documentation case study
ArticleAbstract: Recommender system (RS) clustering is an important issue, both for the improvement of the collaboratPalabras claves:COLLABORATIVE FILTERING, recommender systems, Scientific documentation, Soft clusteringAutores:Bobadilla J., Li X., Ortega F., Remigio Hurtado Ortiz, Rodolfo Bojorque-ChasiFuentes:googlescopusArtificial Intelligence Scientific Documentation Dataset for Recommender Systems
ArticleAbstract: The existing scientific documentation-based recommender systems focus on exploiting the citations anPalabras claves:Artificial Intelligence, Data Mining, Dataset, Machine learning, recommender systems, Scientific documentation, SCOPUS, TopicsAutores:Bobadilla J., Gutiérrez A., Li X., Ortega F., Remigio Hurtado OrtizFuentes:googlescopusHierarchical clustering for collaborative filtering recommender systems
Conference ObjectAbstract: Nowadays, the Recommender Systems (RS) that use Collaborative Filtering (CF) are objects of interestPalabras claves:Agglomerative hierarchical clustering, COLLABORATIVE FILTERING, recommender systems, Similarity metricsAutores:César Inga Chalco, Remigio Hurtado Ortiz, Rodolfo Bojorque-ChasiFuentes:googlescopus