most citedScalable Predictive Time-Series Analysis of COVID-19: Cases and Fatalities

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2021

Scalable Analysis for Covid-19 and Vaccine Data

Chris Collins, Roxana Cuevas, Edward Hernandez +3

This paper explains the scalable methods used for extracting and analyzing the Covid-19 vaccine data. Using Big Data such as Hadoop and Hive, we collect and analyze the massive dat…

cs.DC2021

Scalable Traffic Predictive Analysis using GPU in Big Data

Dalyapraz Dauletbak, Junghoon Heo, Sooyoung Kim +2

The paper adopts parallel computing systems for predictive analysis in both CPU and GPU leveraging Spark Big Data platform. The traffic dataset is adopted to predict the traffic ja…

cs.DC20213 cited

Scalable Predictive Time-Series Analysis of COVID-19: Cases and Fatalities

Shradha Shinde, Jay Joshi, Sowmya Mareedu +2

COVID 19 is an acute disease that started spreading throughout the world, beginning in December 2019. It has spread worldwide and has affected more than 7 million people, and 200 t…

cs.DC20211 cited

Yelp Dataset Analysis using Scalable Big Data

Mohsen Alam, Benjamin Cevallos, Oscar Flores +3

Yelp has served and will continue to serve as a data-driven application. Yelp has published a dataset containing business information, reviews, user information, and check-in infor…

cs.DC2021

Avocado Buying Trends in the United States Using SAC

Velma Jones, Kendra Keyse, Alfredo Melgoza +4

The purpose of our paper is to analyze the dataset from Hass Avocado Board (HAB). The data features historical data on avocado prices and sales volume in multiple cities, states, a…