The wide availability of high‐performance computing systems, Grids and Clouds, allowed
scientists and engineers to implement more and more complex applications to access and …

The big data era poses a critically difficult challenge and striking development opportunities
to high performance computing (HPC). The major problem is an efficient transformation of …

The extraction of useful information from data is often a complex process that can be
conveniently modeled as a data analysis workflow. When very large data sets must be …

In the past decade, rapid technological advances in the fields of electronics and
telecommunications have given rise to versatile, ubiquitous decentralized embedded sensor …

The conventional technologies and methods are not able to store and analyse recent data
that come from different sources: various devices, sensors, networks, transactional …

Data mining is used for finding meaningful information out of a vast expanse of data. With
the advent of Big Data concept, data mining has come to much more prominence …

Government data has been accumulated for centuries in protected repositories and
registries as public record and a matter of civil order. Recently, the Open Government Data …

Pharmacogenomics studies the impact of genetic variation of patients on drug responses
and searches for correlations between gene expression or Single Nucleotide …

Since 2007, the business calculation model-cloud computing was proposed. Promoted
greatly by great companies, cloud computing is developing at a very rapid pace. With the …

Data analysis techniques and services are needed to mine the massive amount of data
available and to extract useful knowledge from it. e service-oriented architecture (SOA) is …