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A comparative analysis of similarity metrics on sparse data for clustering in recommender systems
Conference ObjectAbstract: This work shows similarity metrics behavior on sparse data for recommender systems (RS). ClusteringPalabras claves:clustering, recommender systems, Similarity MeasuresAutores:César Inga Chalco, Remigio Hurtado Ortiz, Rodolfo Bojorque-ChasiFuentes:googlescopusA 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 S. Enriquez-Mancheno, Alejandro Sebastian Enriquez Mancheno, Domenica Alejandra Merchan Garcia, Remigio Hurtado OrtizFuentes:googlescopusSubgroup classification model identifying the most influential factors in the mortality of patients with COVID-19 using data analysis
Conference ObjectAbstract: This research assesses the health conditions of the people in the study and determines the reason whPalabras claves:clustering, covid-19, linear regression, Multi-linear regression, Polynomial regression, Quadratic regressionAutores:Carlos Pena, Florencio Peralta, Remigio Hurtado OrtizFuentes:googlescopusData Analysis Architecture using Techniques of Machine Learning for the Prediction of the Quality of Blood Fonations against the Hepatitis C Virus
Conference ObjectAbstract: Nowadays the WHO (World health Organization) has difficulties improving the access to safe blood. ThPalabras claves:Artificial neural network, Blood Donor, data science, HEPATITIS C, K-nearest neighbor, Machine Learning, Neural network, Oversizing, Principal Component Analysis, random forest, Support Vector MachineAutores:Denys Dutan-Sanchez, Paul Idrovo, Paul Idrovo-Berrezueta, Remigio Hurtado Ortiz, Vladimir Robles-BykbaevFuentes: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: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, prediction time, recommender systems, Similarity MeasuresAutores:Bobadilla J., Ortega F., Remigio Hurtado Ortiz, Zhu B.Fuentes:googlescopusClustering-based recommender system: Bundle recommendation using matrix factorization to single user and user communities
Conference ObjectAbstract: This paper shows the results of a Recommender System (RS) that suggests bundles of items to a user oPalabras claves:Bundles of items, matrix factorization, Recommender systemAutores:César Inga Chalco, Remigio Hurtado Ortiz, Rodolfo Bojorque-ChasiFuentes:googlescopus