The technical advancements and the availability of massive amounts of data on the Internet
draw huge attention from researchers in the areas of decision-making, data sciences …

Graph learning has emerged as a promising technique for multi-view clustering due to its
efficiency of learning a unified graph from multiple views. Previous multi-view graph learning …

Big Data analytics for storing, processing, and analyzing large-scale datasets has become
an essential tool for the industry. The advent of distributed computing frameworks such as …

The widespread growth of Big Data and the evolution of Internet of Things (IoT) technologies
enable cities to obtain valuable intelligence from a large amount of real-time produced data …

Context Collecting and analyzing data has become crucial for many sectors, including the
health care sector, where a hefty amount of data is generated daily. Over time, the amount …

Advanced analytics are fundamental to transform large manufacturing data into resourceful
knowledge for various purposes. In its very nature, such “industrial big data” can relay its …

Insurance is acclaimed as a promising mechanism for resilience to climate extremes.
However, in practice, few empirical studies have been done on the influence of livestock …

With the increasing number of connected devices and the generation of a large amount of
data, efficient methods are required to deal with the complexities of big data processing …

Data variety is one of the most important features of Big Data. Data variety is the result of
aggregating data from multiple sources and uneven distribution of data. This feature of Big …

IT services and resources on-demand through Internetwork are offered by Cloud Computing
(CC), including the pay-for-you-go aspect. A lot is offered by the CC paradigm, such as …