With the emergence of the big data age, the issue of how to obtain valuable knowledge from
a dataset efficiently and accurately has attracted increasingly attention from both academia …

Big data refer to the massive amounts and varieties of information in the structured and
unstructured form, generated by social networking sites, biomedical equipment, financial …

Abstract Research on Data Cubes scalability is extensive, yet sparse. Scalable design
patterns for Data Cube implementations are a trend as the technology shifts from centralized …

Data aggregation processes are essential constituents for data management in modern
computer systems, such as decision support systems and Internet of Things systems, many …

As remote sensing equipment and networked observational devices continue to proliferate,
their corresponding data volumes have surpassed the storage and processing capabilities …

With the emergence of the big data age, methods for quickly and accurately obtaining
valuable hot topics from the vast amount of digitized textual material have attracted much …

Networked observational devices and remote sensing equipment continue to proliferate and
contribute to the accumulation of extreme-scale datasets. Both the rate and resolution of the …

With the increasing availability of large amount of information and the benefits related to
data processing, big data have gained large significance in recent years. With scalable …

Big data analytics is an emerging research area with many sophisticated contributions in the
actual literature. Big data analytics aims at discovering actionable knowledge from large …

Commercial off-the-shelf DataBase Management Systems (DBMSes) are highly optimized to
process a wide range of queries by means of carefully designed indexing and query …