A vast amount of published scholarly literature is generated every day. Today, it is one of the
biggest challenges for organisations to extract knowledge embedded in published scholarly …

Abstract Buzzwords like Industry 4.0, the Internet of Things (IoT) and cyber physical systems
have been developed recently to describe future industrial systems (CPS). While Industry …

Recently, data mining and machine learning techniques have found widespread use in the
field of healthcare. The objective of this study is to develop an automated method for …

Online discussion forums are common features of learning management systems; they allow
teachers to engage students in topical discussions in environments beyond physical spaces …

The potential of big data is growing exponentially, and over the next decade, it will almost
change every business and industry. The diverse applications of big data have opened new …

This article aims to review consumer behaviour on digital platforms and how machine
learning influences customer loyalty. The researcher adopted a qualitative method to …

This paper analyses the effectiveness of DM (Data Mining) classification techniques for
company detection. Different approaches of data mining are accessible for the process of …

A massive number of IOT devices creates a difficult volume of details. Cloud-based IOT
computing approaches suffer from high and unpredictable network latency, leading to …

The large volume of data whether arranged or unarranged is termed Big Data. Over the last
decade, predictive analysis on big data has seen a high development and will absolutely …

Owing to their high availability and scalability, NoSQL databases are becoming more
popular for Big data applications in web analytics and supporting large websites. Moreover …