Algorithms for Large-scale Data Analytics and Applications to the COVID-19 Pandemic
Operations Research (OR) can be defined as using advanced quantitative tools to make better decisions and create impact. In the modern world, to generate impact, we need both scalable algorithms that allow us to extract insights from an ever-increasing amount of data, and also important applications...
Main Author: | Li, Michael Lingzhi |
---|---|
Other Authors: | Bertsimas, Dimitris J. |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2022
|
Online Access: | https://hdl.handle.net/1721.1/143205 https://orcid.org/ 0000-0002-2456-4834 |
Similar Items
-
Data analytics applications for COVID-19 pandemic
by: Mohd Javaid, et al.
Published: (2021-01-01) -
Applications of Big Data Analytics to Control COVID-19 Pandemic
by: Shikah J. Alsunaidi, et al.
Published: (2021-03-01) -
Towards algorithmic analytics for large-scale datasets
by: Bzdok, D, et al.
Published: (2019) -
Application-Oriented Data Analytics in Large-Scale Metal Sheet Bending
by: Mariluz Penalva, et al.
Published: (2023-12-01) -
Large scale clinical trials: lessons from the COVID-19 pandemic
by: Ling-Pei Ho, et al.
Published: (2022-02-01)