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Information Management and Big Data: 7th Annual International Conference, SIMBig 2020, Lima, Peru, October 1–3, 2020, Proceedings de Juan Antonio Lossio-Ventura

Information Management and Big Data: 7th Annual International Conference, SIMBig 2020, Lima, Peru, October 1–3, 2020, Proceedings: Communications in Computer and Information Science, cartea 1410

Editat de Juan Antonio Lossio-Ventura, Jorge Carlos Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas
en Limba Engleză Paperback – 12 mai 2021
This book constitutes the refereed proceedings of the 7th International Conference on Information Management and Big Data, SIMBig 2020, held in Lima, Peru, in October 2020.* The 32 revised full papers and 7 revised short papers presented were carefully reviewed and selected from 122 submissions. The papers address topics such as natural language processing and text mining; machine learning; image processing; social networks; data-driven software engineering; graph mining; and Semantic Web, repositories, and visualization.
*The conference was held virtually.
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Specificații

ISBN-13: 9783030762278
ISBN-10: 3030762270
Pagini: 554
Ilustrații: XX, 554 p. 215 illus., 175 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.79 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

Natural Language Processing and Text Mining.- Comparative Analysis of Question Answering Models for HRI Tasks with NAO in Spanish.- Peruvian citizens reaction to Reactiva Perú Program: A Twitter Sentiment Analysis Approach.- Twitter Early Prediction of preferences and tendencies based in neighborhood behavior.- Summarization of Twitter Events with Deep Neural Network Pre-trained Models.- Multi-strategic Approach for Author Name Disambiguation in Bibliography Repositories.- Machine Learning techniques for speech emotion classification.- An evaluation of physiological public datasets for emotion recognition systems.- Machine Learning.- YTTREX: crowdsourced analysis of YouTube's recommender system during COVID-19 pandemic.- Parallel Social Spider Optimization Algorithms with Island Model for the Clustering Problem.- Two-Class Fuzzy Clustering Ensemble Approach Based on A Constraint on Fuzzy Memberships.- Modeling and Predicting the Lima Stock Exchange General Index with Bayesian Networks and Information from Foreign Markets.- Comparative study of spatial prediction models for estimating PM2:5 concentration level in urban areas.- Prediction of Solar Radiation using Neural Networks Forecasting.- COVID-19 Infection Prediction and Classification.- Image Processing.- Towards a benchmark for sedimentary facies classification: Applied to the Netherlands F3 Block.- Mobile application for movement recognition in the rehabilitation of the anterior cruciate ligament of the knee.- Semantic Segmentation using Convolutional Neural Networks for Volume Estimation of Native Potatoes at High Speed.- Symbiotic Trackers' Ensemble with Trackers' Re-initialization for Face Tracking.- Multi-class Vehicle Detection and Automatic License Plate Recognition based on YOLO in Latin American Context.- Static Summarization using Pearsons Coefficient and Transfer Learning for Anomaly detection for Surveillance Videos.- Humpback Whale's Flukes Segmentation Algorithms.- Improving Context-Aware Music Recommender Systems with a Dual Recurrent Neural Network.- Social Networks.- Classification of Cybercrime Indicators in Open Social Data.- StrCoBSP: relationship Strength-aware Community-based Social Pro ling.- Identifying Differentiating Factors for Cyberbullying in Vine and Instagram.- Effect of Social Algorithms on Media Source Publishers in Social.- Media Ecosystems.- The Identification of Framing Language in Business Leaders' Speech From the Mass Media.- Clustering Analysis of Website Usage on Twitter during the COVID-19 Pandemic.- Data-driven Software Engineering.- Calibrated Viewability Prediction for Premium Inventory Expansion.- Data Driven Policy Making: The Peruvian Water Resources Observatory.- Graph Mining.- Use of complex networks to differentiate elderly and young people.- Analysis of the Health Network of Metropolitan Lima against Large-scale Earthquakes.- Quasiquadratic time algorithms for square and pentagon counting in real-world networks.- Identifying COVID-19 Impact on Peruvian Mental Health during Lockdown using Social Network.- Diagnosis of SARS-CoV-2 based on patient symptoms and fuzzy classifiers.- Semantic Web, Repositories, and Visualization.- Distributed Identity Management for Semantic Entities.- Telegram: Data Collection, Opportunities and Challenges.- Graph theory applied to International Code of Diseases (ICD) in a hospital.- CovidStream: Interactive Visualization of Emotions Evolution Associated with Covid-19.