Nowadays, there are applications in which the data are modeled best not as persistent
tables, but rather as transient data streams. In this article, we discuss the limitations of …

OBJECTIVE: Intelligent clinical data analysis systems require precise qualitative
descriptions of data to enable effective and context sensitive interpretation to take place …

In recent years, the management and processing of so-called data streams has become a
topic of active research in several fields of computer science such as, eg, distributed …

In this paper, we propose and develop a platform to support data collection for mobile
crowdsensing from mobile device sensors that is under-pinned by real-time mobile data …

We are witnessing a new revolution in computing and communication involving symbiotic
networks of people (social networks), intelligent devices, smart mobile computing, and …

Distributed online data analytics has attracted significant research interest in recent years
with the advent of Fog and Cloud computing. The popularity of novel distributed applications …

Many recent applications deal with data streams, conceptually endless sequences of data
records, often arriving at high flow rates. Standard data-mining techniques typically assume …

The processing of data streams in general and the mining of such streams in particular have
recently attracted considerable attention in various research fields. A key problem in stream …

Mining data streams is a field of increase interest due to the importance of its applications
and dissemination of data stream generators. Most of the streaming techniques developed …

The most challenging applications of knowledge discovery involve dynamic environments
where data continuous flow at high-speed and exhibit non-stationary properties. In this …