activity
20222024
most citedUsing Spark Machine Learning Models to Perform Predictive Analysis on Flight Ticket Pricing Data

1 citations · 1 across the 8 of their papers we have counts for

collaborators

8 papers

cs.DC2024

Predictive Analysis of CFPB Consumer Complaints Using Machine Learning

Dhwani Vaishnav, Manimozhi Neethinayagam, Akanksha Khaire +1

This paper introduces the Consumer Feedback Insight & Prediction Platform, a system leveraging machine learning to analyze the extensive Consumer Financial Protection Bureau (CFPB)…

cs.CR2024

Cyberattack Data Analysis in IoT Environments using Big Data

Neelam Patidar, Sally Zreiqat, Sirisha Mahesh +1

In the landscape of the Internet of Things (IoT), transforming various industries, our research addresses the growing connectivity and security challenges, including interoperabili…

cs.CY2024

US College Net Price Prediction Comparing ML Regression Models

Zalak Patel, Ayushi Porwal, Kajal Bhandare +1

This paper will illustrate the usage of Machine Learning algorithms on US College Scorecard datasets. For this paper, we will use our knowledge, research, and development of a pred…

cs.LG2023

Insuring Smiles: Predicting routine dental coverage using Spark ML

Aishwarya Gupta, Rahul S. Bhogale, Priyanka Thota +2

Finding suitable health insurance coverage can be challenging for individuals and small enterprises in the USA. The Health Insurance Exchange Public Use Files (Exchange PUFs) datas…

cs.LG2023★ 1 cited

Using Spark Machine Learning Models to Perform Predictive Analysis on Flight Ticket Pricing Data

Philip Wong, Phue Thant, Pratiksha Yadav +2

This paper discusses predictive performance and processes undertaken on flight pricing data utilizing r2(r-square) and RMSE that leverages a large dataset, originally from Expedia.…

cs.DC2023

CFPB Consumer Complaints Analysis Using Hadoop

Dhwani Vaishnav, Manimozhi Neethinayagam, Akanksha S Khaire +2

Consumer complaints are a crucial source of information for companies, policymakers, and consumers alike. They provide insight into the problems faced by consumers and help identif…

cs.IR2023

Amazon Books Rating prediction & Recommendation Model

Hsiu-Ping Lin, Suman Chauhan, Yougender Chauhan +2

This paper uses the dataset of Amazon to predict the books ratings listed on Amazon website. As part of this project, we predicted the ratings of the books, and also built a recomm…

physics.soc-ph2022

LA City Bike Lane Infrastructure and its Effects on Business Closures From 2016-2021

Jeff Block, Yocelyne Gomez, Carolina Gonzalez +5

This paper analyzes the presence of bike lanes within the city of Los Angeles and how their presence could offer positive economic benefits to businesses. City wide shutdowns initi…