Retail companies recognize the need to analyze and predict their sales and customer
behavior against their products and product categories. Our study aims to help retail …

Containers have revolutionized application deployment and life-cycle management in
current cloud platforms. Applications have evolved from single monoliths to complex graphs …

The Online Roadshow, a new type of web application, is a digital marketing approach that
aims to maximize contactless business engagement. It leverages web computing to conduct …

This article proposes a new parallel performance model for different workloads of Spark Big
Data applications running on Hadoop clusters. The proposed model can predict the runtime …

Pathfinding problem has several applications in our life and widely used in virtual
environments. It has different goals such as shortest path, secure path, or optimal path …

Three-way concept analysis (3WCA) is a framework based on Formal concept analysis and
three-way decisions is used in the field of knowledge discovery to solve uncertainties in …

Many research works deal with big data platforms looking forward to data science and
analytics. These are complex and usually distributed environments, composed of several …

Formal concept analysis (FCA) is an unsupervised machine learning technique used for
knowledge discovery and representation. A major task in FCA is the enumeration of the …

The rise in the volume of data, as well as the type of data and the rate at which data is
produced, has led to the development of novel processing methods capable of working with …

In the era of big data, it is necessary to provide novel and efficient platforms for training
machine learning models over large volumes of data. The MapReduce approach and its …