Recent advancements in the internet, social media, and internet of things (IoT) devices have
significantly increased the amount of data generated in a variety of formats. The data must …

In response to the rapid growth of many sorts of information, highway data has continued to
evolve in the direction of big data in terms of scale, type, and structure, exhibiting …

The performance optimization of Apache Spark, a widely used distributed computing
framework, is crucial for the efficient execution of data-intensive workloads. However, the …

Apache spark, famously known for big data handling ability, is a distributed open-source
framework that utilizes the idea of distributed memory to process big data. As the …

This study explores the prediction of taxi trip fares using two linear regression methods:
normal equations (ordinary least squares solution (OLS)) and limited-memory Broyden …

Recommendation systems (RSs) are used to obtain advice regarding decision-making. RSs
have the shortcoming that a system cannot draw inferences for users or items regarding …