Cloud computing is an evolution of information technology and a dominant business model
for delivering IT resources. With cloud computing, individuals and organizations can gain on …

Computing paradigms have evolved significantly in recent decades, moving from large room-
sized resources (processors and memory) to incredibly small computing nodes. Recently …

Business-critical workloads--web servers, mail servers, app servers, etc.--are increasingly
hosted in virtualized data enters acting as Infrastructure-as-a-Service clouds (cloud data …

Human water use has significantly increased during the recent past. Water withdrawals from
surface and groundwater sources have altered terrestrial discharge and storage, with large …

Data mining (DM) is increasingly used in the analysis of data generated in life sciences,
including biological data produced in several disciplines such as genomics and proteomics …

This paper develops a sociomaterial perspective on digital coordination. It extends
Pickering's mangle of practice by using a trichordal approach to temporal emergence. We …

Multilabel learning is a challenging task demanding scalable methods for large-scale data.
Feature selection has shown to improve multilabel accuracy while defying the curse of …

Modern data is characterized by its ever-increasing volume and complexity, particularly
when data instances belong to many categories simultaneously. This learning paradigm is …

The solution of complex global challenges in the land system, such as food and energy
security, requires information on the management of agricultural systems at a high spatial …

With the increasing knowledge about the natural processes, hydrological models such as
the Soil and Water Assessment Tool (SWAT) are becoming larger and more complex with …