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A data analytics method based on data science and machine learning for bank risk prediction in credit applications for financial institutions
Conference ObjectAbstract: Nowadays, banks grant credits so that customers can acquire a good or service, start or improve a buPalabras claves:Autores:Edisson Salinas Jara, Johnny Maisincho Panjon, Ortiz J.H., Remigio Hurtado OrtizFuentes:scopusA new approach for Pneumonia diagnosis using Convolutional Neural Networks
Conference ObjectAbstract: Convolutional Neural Networks (CNN) can be used as an efficient tool for detecting diseases betweenPalabras claves:Artificial neuron, epoch, flatten, pooling, Preprocessing, TEST, TrainAutores:Leonardo Alvarado, Pedro Illaisaca, Remigio Hurtado OrtizFuentes:googlescopusA 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:googlescopusA new way of finding better neighbors in recommendation systems based on collaborative filtering
Conference ObjectAbstract: One of the biggest problems of the internet is information overload. A way to handle this is CollaboPalabras claves:Autores:Alejandro Sebastian Enriquez Mancheno, Domenica Alejandra Merchan Garcia, Remigio Hurtado OrtizFuentes:googlescopusAn analysis method for predicting 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:googlescopusAn efficient recommender system method based on the numerical relevances and the non-numerical structures of the ratings
ArticleAbstract: In this paper, we propose a collaborative filtering method designed to improve the current memory-baPalabras claves:COLLABORATIVE FILTERING, model-based methods, pbkp_rediction time, performance, recommender systems, Similarity MeasuresAutores:Bobadilla J., Ortega F., Remigio Hurtado Ortiz, Zhu B.Fuentes:googlescopusAnalysis model of the most important factors in Covid-19 through data mining, descriptive statistics and random forest
Conference ObjectAbstract: The Covid19 pandemic has had a great impact worldwide, it has become a major problem due to the demaPalabras claves:ALGORITMO, Análisis, Clustering, CORONAVIRUS, covid19, PCa, Precision, random forestAutores:Juan Carlos Barrera Barrera, Katherine Michelle Barrera Barrera, Remigio Hurtado OrtizFuentes:scopusArtificial 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:googlescopusRecommendation to Groups of Users Using the Singularities Concept
ArticleAbstract: Recommendation to a group of users is a big challenge for collaborative filtering. The recommendatioPalabras claves:COLLABORATIVE FILTERING, group of users, Recommendation to groups, recommender systems, SingularityAutores:Bobadilla J., Ortega F., Remigio Hurtado Ortiz, Rodolfo Bojorque-ChasiFuentes:googlescopus