A Model for Rapid Selection and COVID-19 Prediction with Dynamic and Imbalanced Data
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Jaemun Sim & Jonathan Sangyun Lee & Ohbyung Kwon, 2015. "Missing Values and Optimal Selection of an Imputation Method and Classification Algorithm to Improve the Accuracy of Ubiquitous Computing Applications," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-14, July.
- Zhang, Xiaolei & Ma, Renjun & Wang, Lin, 2020. "Predicting turning point, duration and attack rate of COVID-19 outbreaks in major Western countries," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
- Akio Matsumoto & Ugo Merlone & Ferenc Szidarovszky, 2012. "Some notes on applying the Herfindahl--Hirschman Index," Applied Economics Letters, Taylor & Francis Journals, vol. 19(2), pages 181-184, February.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Francesco Pilati & Riccardo Tronconi & Giandomenico Nollo & Sunderesh S. Heragu & Florian Zerzer, 2021. "Digital Twin of COVID-19 Mass Vaccination Centers," Sustainability, MDPI, vol. 13(13), pages 1-26, July.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Marin, Giovanni & Vona, Francesco, 2023.
"Finance and the reallocation of scientific, engineering and mathematical talent,"
Research Policy, Elsevier, vol. 52(5).
- Giovanni Marin & Francesco Vona, 2017. "Finance and the Misallocation of Scientific, Engineering and Mathematical Talent," Working Papers hal-03455397, HAL.
- Marin, Giovanni & Vona, Francesco, 2022. "Finance and the Reallocation of Scientific, Engineering and Mathematical Talent," FEEM Working Papers 322733, Fondazione Eni Enrico Mattei (FEEM).
- Giovanni Marin & Francesco Vona, 2017. "Finance and the Misallocation of Scientific, Engineering and Mathematical Talent," Documents de Travail de l'OFCE 2017-27, Observatoire Francais des Conjonctures Economiques (OFCE).
- Francesco Vona & Francesco Bontadini, 2022. "Anatomy of Green Specialisation: Evidence from EU Production Data, 1995-2015," Working Papers 2022.14, Fondazione Eni Enrico Mattei.
- Giovanni Marin & Francesco Vona, 2022. "Finance and the Reallocation of Scientific, Engineering and Mathematical Talent," Working Papers 2022.17, Fondazione Eni Enrico Mattei.
- Müller, Raphael & Spengel, Christoph & Weck, Stefan, 2021. "How do investors value the publication of tax information? Evidence from the European public country-by-country reporting," ZEW Discussion Papers 21-077, ZEW - Leibniz Centre for European Economic Research.
- Zahra Dehghan Shabani & Rouhollah Shahnazi, 2020. "Spatial distribution dynamics and prediction of COVID‐19 in Asian countries: spatial Markov chain approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(6), pages 1005-1025, December.
- Singhal, Amit & Singh, Pushpendra & Lall, Brejesh & Joshi, Shiv Dutt, 2020. "Modeling and prediction of COVID-19 pandemic using Gaussian mixture model," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
- Ravi Kashyap, 2024. "The Concentration Risk Indicator: Raising the Bar for Financial Stability and Portfolio Performance Measurement," Papers 2408.07271, arXiv.org.
- Lars Christian Bruno & Riana Steen, 2022. "Norwegian oil market concentration and its effects on the oil service companies 1993–2013," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(2), pages 242-262, May.
- Luca Bonacini & Giovanni Gallo & Fabrizio Patriarca, 2021.
"Identifying policy challenges of COVID-19 in hardly reliable data and judging the success of lockdown measures,"
Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 275-301, January.
- Bonacini, Luca & Gallo, Giovanni & Patriarca, Fabrizio, 2020. "Identifying policy challenges of COVID-19 in hardly reliable data and judging the success of lockdown measures," GLO Discussion Paper Series 534 [pre.], Global Labor Organization (GLO).
- repec:spo:wpmain:info:hdl:2441/6m5kss847r91no96hiublu6anu is not listed on IDEAS
- Weikang Zhang & Isabel K. M. Yan & Yin-Wong Cheung, 2023. "The COVID-19 pandemics and import demand elasticities: evidence from China’s customs data," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-25, December.
- Amaral, Marco A. & Oliveira, Marcelo M. de & Javarone, Marco A., 2021. "An epidemiological model with voluntary quarantine strategies governed by evolutionary game dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
- Clement Tisdell & Mohammad Alauddin & Md. Abdur Rashid Sarker & Md Anwarul Kabir, 2019. "Agricultural Diversity and Sustainability: General Features and Bangladeshi Illustrations," Sustainability, MDPI, vol. 11(21), pages 1-22, October.
- Swapnarekha, H. & Behera, Himansu Sekhar & Nayak, Janmenjoy & Naik, Bighnaraj, 2020. "Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
- Huang, Chiou-Jye & Shen, Yamin & Kuo, Ping-Huan & Chen, Yung-Hsiang, 2022. "Novel spatiotemporal feature extraction parallel deep neural network for forecasting confirmed cases of coronavirus disease 2019," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
- Ausloos, Marcel, 2020.
"Rank–size law, financial inequality indices and gain concentrations by cyclist teams. The case of a multiple stage bicycle race, like Tour de France,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
- Marcel Ausloos, 2019. "Rank-size law, financial inequality indices and gain concentrations by cyclist teams. The case of a multiple stage bicycle race, like Tour de France," Papers 1910.13803, arXiv.org.
- Filippo Bontadini & Francesco Vona, 2023.
"Anatomy of Green Specialisation: Evidence from EU Production Data, 1995–2015,"
Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(3), pages 707-740, August.
- Filippo Bontadini & Francesco Vona, 2020. "Anatomy of Green Specialization: Evidence from EU Production Data, 1995-2015," Working Papers hal-03403070, HAL.
- Bontadini, Filippo & Vona, Francesco, 2022. "Anatomy of Green Specialisation: Evidence from EU Production Data, 1995-2015," FEEM Working Papers 324042, Fondazione Eni Enrico Mattei (FEEM).
- Francesco Vona & Francesco Bontadini, 2022. "Anatomy of Green Specialisation: Evidence from EU Production Data, 1995-2015," Working Papers 2022.14, Fondazione Eni Enrico Mattei.
- repec:hal:spmain:info:hdl:2441/6m5kss847r91no96hiublu6anu is not listed on IDEAS
- Koutsellis, Themistoklis & Nikas, Alexandros, 2020. "A predictive model and country risk assessment for COVID-19: An application of the Limited Failure Population concept," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
- Byeongki Jeong & Janghyeok Yoon, 2017. "Competitive Intelligence Analysis of Augmented Reality Technology Using Patent Information," Sustainability, MDPI, vol. 9(4), pages 1-22, March.
- Filippo Bontadini & Francesco Vona, 2020. "Anatomy of Green Specialization: Evidence from EU Production Data, 1995-2015," SciencePo Working papers Main hal-03403070, HAL.
- Parbat, Debanjan & Chakraborty, Monisha, 2020. "A python based support vector regression model for prediction of COVID19 cases in India," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
- Henry Kankwamba & Mariam Kadzamira & Karl Pauw, 2018. "How diversified is cropping in Malawi? Patterns, determinants and policy implications," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(2), pages 323-338, April.
- Dalton Garcia Borges de Souza & Erivelton Antonio dos Santos & Francisco Tarcísio Alves Júnior & Mariá Cristina Vasconcelos Nascimento, 2021. "On Comparing Cross-Validated Forecasting Models with a Novel Fuzzy-TOPSIS Metric: A COVID-19 Case Study," Sustainability, MDPI, vol. 13(24), pages 1-25, December.
More about this item
Keywords
COVID-19 pandemic; classification algorithms; data availability; big data analytics; decision tree; data imbalance;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3099-:d:515306. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.