The research of dynamic community detection is becoming increasingly popular since it can
disclose how the community structures change over time in dynamic networks. Evolutionary …

Big data are regarded as a tremendous technology for processing a huge variety of data in a
short time and with a large storage capacity. The user's access over the internet creates …

A massive amount of data is generated with the evolution of modern technologies. This high-
throughput data generation results in Big Data, which consist of many features (attributes) …

In smart factories, the data collected by Internet-of-things sensors is enormous and includes
a lot of noise and missing values. To address this big data problem, metaheuristic is one of …

Real-word large-scale optimisation problems often result in local optima due to their large
search space and complex objective function. Hence, traditional evolutionary algorithms …

Spacecraft systems collect health-related data continuously, which can give an indication of
the systems' health status. While they rarely occur, the repercussions of such system …

This paper concerns the detection of abnormal data usage and unauthorized access in large-
scale critical networks, specifically healthcare infrastructures. Hospitals in the UK are now …

The rapid progress of modern technologies generates a massive amount of high-throughput
data, called Big Data, which provides opportunities to find new insights using machine …

The term “big data” characterizes the massive amounts of data generation by the advanced
technologies in different domains using 4Vs–volume, velocity, variety, and veracity-to …

An enormous volume of data, known as Big Data, of varied properties, is continuously being
generating from several sources. For efficient and consequential use of this huge amount of …