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 …

In this article, we review the state‐of‐the‐art techniques in mining data streams for mobile
and ubiquitous environments. We start the review with a concise background of data stream …

In today's competitive market, companies need to use discovery knowledge techniques to
make better, more informed decisions. But these techniques are out of the reach of most …

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

As the size of available datasets has grown from Megabytes to Gigabytes and now into
Terabytes, machine learning algorithms and computing infrastructures have continuously …

Introduction Computer science applications are becoming more and more network centric,
ubiquitous, knowledge intensive, and computing demanding. This trend will result soon in …

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 …

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 …

Link prediction is a central task in the field of dynamic complex network analysis. A major
trend in this area consists of applying a dyadic topological approach. Most of existing …

Security requirements analysis depends on how well-trained analysts perceive security risk,
understand the impact of various vulnerabilities, and mitigate threats. When systems are …