Resumen
The proceedings contain 39 papers. The special focus in this conference is on Information Management and Big Data. The topics include: 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 PM 2.5 Concentration Level in Urban Areas; prediction of Solar Radiation Using Neural Networks Forecasting; COVID-19 Infection Prediction and Classification; 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; symbiotic Trackers’ Ensemble with Trackers’ Re-initialization for Face Tracking; peruvian Citizens Reaction to Reactiva Perú Program: A Twitter Sentiment Analysis Approach; static Summarization Using Pearson’s 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; classification of Cybercrime Indicators in Open Social Data; StrCoBSP: Relationship Strength-Aware Community-Based Social Profiling; 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; calibrated Viewability Prediction for Premium Inventory Expansion; twitter Early Prediction of Preferences and Tendencies Based in Neighborhood Behavior; distributed Identity Management for Semantic Entities.
| Idioma original | Inglés |
|---|---|
| Lugar de publicación | Cham |
| Número de páginas | 554 |
| ISBN (versión digital) | 978-3-030-76228-5 |
| DOI | |
| Estado | Publicada - 2021 |
| Evento | International Conference on Information Management and Big Data - Lima, Perú Duración: 1 oct. 2020 → 3 oct. 2020 Número de conferencia: 7 https://simbig.org/SIMBig2020/ |
Serie de la publicación
| Nombre | Communications in Computer and Information Science |
|---|---|
| Volumen | 1410 CCIS |
| ISSN (impreso) | 1865-0929 |
| ISSN (electrónico) | 1865-0937 |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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ODS 9: Industria, innovación e infraestructura
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ODS 16: Paz, justicia e instituciones sólidas
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ODS 17: Alianzas para lograr los objetivos
Huella
Profundice en los temas de investigación de 'Information management and big data: 7th Annual International Conference, SIMBig 2020, Lima, Peru, October 1–3, 2020, Proceedings'. En conjunto forman una huella única.Producción científica
- 6 Contribución a la conferencia
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Analysis of the health network of Metropolitan Lima against large-scale earthquakes
Nunez-del-Prado, M. & Barrera, J., 21 may. 2021, Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. Lossio-Ventura, J. A., Valverde-Rebaza, J. C., Díaz, E. & Alatrista-Salas, H. (eds.). Cham, p. 445-459 15 p. (Communications in Computer and Information Science; vol. 1410 CCIS).Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva
1 Cita (Scopus) -
Data driven policy making: The Peruvian water resources observatory
Barnuevo, G., Galarza, E., Herrera, M. P., Lazo Lazo, J. G. & Nunez-del-Prado, M., 12 may. 2021, Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. Lossio-Ventura, J. A., Valverde-Rebaza, J. C., Díaz, E. & Alatrista-Salas, H. (eds.). Cham, Vol. 1410. p. 419-431 13 p. (Communications in Computer and Information Science; vol. 1410 CCIS).Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva
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Humpback whale’s flukes segmentation algorithms
Castro Cabanillas, A. & Ayma, V. H., 2021, Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. Lossio-Ventura, J. A., Valverde-Rebaza, J. C., Díaz, E. & Alatrista-Salas, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 291-303 13 p. (Communications in Computer and Information Science; vol. 1410 CCIS).Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva
1 Cita (Scopus)
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