| TÃtulo : |
7th Annual International Conference, SIMBig 2020, Lima, Peru, October 1–3, 2020, Proceedings |
| Tipo de documento: |
documento electrónico |
| Autores: |
Lossio-Ventura, Juan Antonio, ; Valverde-Rebaza, Jorge Carlos, ; DÃaz, Eduardo, ; Alatrista-Salas, Hugo, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2021 |
| Número de páginas: |
XX, 554 p. 215 ilustraciones, 175 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-76228-5 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Idioma : |
Inglés (eng) |
| Palabras clave: |
Red informática Inteligencia artificial Ciencias sociales Procesamiento de datos Visión por computador Redes de comunicación informática Aplicación informática en ciencias sociales y del comportamiento. |
| Clasificación: |
004.6 Ciencia de los computadores (Interfaces y comunicaciones) |
| Resumen: |
Este libro constituye las actas arbitradas de la 7ma Conferencia Internacional sobre Gestión de la Información y Big Data, SIMBig 2020, celebrada en Lima, Perú, en octubre de 2020.* Los 32 artÃculos completos revisados ​​y los 7 artÃculos breves revisados ​​presentados fueron cuidadosamente revisados ​​y seleccionados entre 122 presentaciones. Los artÃculos abordan temas como el procesamiento del lenguaje natural y la minerÃa de textos; aprendizaje automático; procesamiento de imágenes; redes sociales; ingenierÃa de software basada en datos; minerÃa de gráficos; y Web Semántica, repositorios y visualización. *La conferencia se realizó de manera virtual. |
| Nota de contenido: |
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. |
| Tipo de medio : |
Computadora |
| Summary : |
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. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
7th Annual International Conference, SIMBig 2020, Lima, Peru, October 1–3, 2020, Proceedings [documento electrónico] / Lossio-Ventura, Juan Antonio, ; Valverde-Rebaza, Jorge Carlos, ; DÃaz, Eduardo, ; Alatrista-Salas, Hugo, . - 1 ed. . - [s.l.] : Springer, 2021 . - XX, 554 p. 215 ilustraciones, 175 ilustraciones en color. ISBN : 978-3-030-76228-5 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés ( eng)
| Palabras clave: |
Red informática Inteligencia artificial Ciencias sociales Procesamiento de datos Visión por computador Redes de comunicación informática Aplicación informática en ciencias sociales y del comportamiento. |
| Clasificación: |
004.6 Ciencia de los computadores (Interfaces y comunicaciones) |
| Resumen: |
Este libro constituye las actas arbitradas de la 7ma Conferencia Internacional sobre Gestión de la Información y Big Data, SIMBig 2020, celebrada en Lima, Perú, en octubre de 2020.* Los 32 artÃculos completos revisados ​​y los 7 artÃculos breves revisados ​​presentados fueron cuidadosamente revisados ​​y seleccionados entre 122 presentaciones. Los artÃculos abordan temas como el procesamiento del lenguaje natural y la minerÃa de textos; aprendizaje automático; procesamiento de imágenes; redes sociales; ingenierÃa de software basada en datos; minerÃa de gráficos; y Web Semántica, repositorios y visualización. *La conferencia se realizó de manera virtual. |
| Nota de contenido: |
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. |
| Tipo de medio : |
Computadora |
| Summary : |
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. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
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