Titlebook: Information Management and Big Data; 7th Annual Internati Juan Antonio Lossio-Ventura,Jorge Carlos Valverde- Conference proceedings 2021 Sp

inferno

俗艳

BLAZE

ACME

YTTREX: Crowdsourced Analysis of YouTube’s Recommender System During COVID-19 Pandemicur control. Two common biases are frequent in experiments: relying on corporate service API and using synthetic profiles with small regards of regional and individualized profiling and personalization. In this work, we present the result of the first crowdsourced data collections of YouTube’s recomm

Abduct

Parallel Social Spider Optimization Algorithms with Island Model for the Clustering Problemed and stored. A well-known technique for analyzing this kind of data is Clustering. Many bio-inspired algorithms were proposed for this problem such as the Social Spider Optimization (SSO). In this work, we propose parallel island models of the SSO algorithm for the Clustering problem, using 24 pro

ingenue

Two-Class Fuzzy Clustering Ensemble Approach Based on a Constraint on Fuzzy Membershipsised or unsupervised techniques have been proposed in order to enhances the performance of classification. In this paper, in order to obtain a stable fuzzy cluster scheme, a novel ensemble approach is presented. The proposed model consists of implementations of several Fuzzy C-means (FCM) based algo

MAZE

Modeling and Predicting the Lima Stock Exchange General Index with Bayesian Networks and Informationn market’s information. Thirteen worldwide stock market indices were used along with the copper future that is negotiated in New York..The proposed approach was compared against popular machine learning methods, including decision tree, SVM, Multilayer Perceptron and Long short-term memory networks.

Collar

Comparative Study of Spatial Prediction Models for Estimating PM, Concentration Level in Urban Areaslly in low-to-middle income countries. However, given the large diversity of model types, both statistical, numerical and machine learning (ML) based, it is not clear which of them are most suitable for this task. In this paper we study the predictive capabilities of common machine learning methods

大暴雨

Prediction of Solar Radiation Using Neural Networks Forecastingble for locations of interest due to absences of meteorological stations. In the scope of this paper, a low-cost automatic meteorological station prototype based on Raspberry technology was developed to measure the aforementioned variables. The objective of this paper is twofold: a) to present a pro

chastise