Climate change is one of the greatest challenges for modern societies. Its consequences,
often associated with extreme events, have dramatic results worldwide. New synergies …

Internet of Things (IoT) is becoming a new socioeconomic revolution in which data and
immediacy are the main ingredients. IoT generates large datasets on a daily basis but it is …

Abstract The Internet of Things (IoT) is driving the next economic revolution where the main
actors are both data and immediacy. The IoT ecosystem is increasingly generating large …

The upcoming digitalization in the context of Cyber–physical Systems (CPS), enabled
through Internet-of-Things (IoT) infrastructures, require efficient methods for distributed …

Clustering algorithms are one of the most widely used kernels to generate knowledge from
large datasets. These algorithms group a set of data elements (ie, images, points, patterns …

For the heterogeneous big data parallel computing model, two levels of parallelism between
nodes are not considered, resulting in low efficiency of heterogeneous big data parallel …

Healthcare data clustering plays a vital role in discovering meaningful patterns and insights
from large and complex datasets. However, the boundary overlap of existing rough set …

Data clustering is an unsupervised machine learning task whose objective is to group
together similar items. As a versatile data mining tool, data clustering has numerous …

Clustering algorithms are one of the most widely used kernels to generate knowledge from
large datasets. These algorithms group a set of data elements (ie, images, points, patterns …

Social media is revealing itself as one of the main actors in the economic and social
revolution we are currently witnessing, and in which the main factors are data and …