KDD is a complex and demanding task. While a large number of methods has been
established for numerous problems, many challenges remain to be solved. New tasks …

Elasticity (on-demand scaling) of applications is one of the most important features of cloud
computing. This elasticity is the ability to adaptively scale resources up and down in order to …

Web services provide a standard way of publishing applications and data sources over the
internet, enabling mass dissemination of knowledge. In the life sciences, the web-service …

In this paper, we present a distributed infrastructure based on Grid computing technology
and data integration and mining tools to discuss the main informatics challenges that arise …

To date on-line processes (ie workflows) built in e-Science have been the result of
collaborative team efforts. As more of these workflows are built, scientists start sharing and …

The DataMiningGrid system has been designed to meet the requirements of modern and
distributed data mining scenarios. Based on the Globus Toolkit and other open technology …

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

In this paper we describe the use of sensor grids within Discovery Net to construct a
distributed system for urban air pollution monitoring and control. We present the background …

More companies are facing challenges in extracting and utilizing knowledge in product
lifecycle. To solve this problem, a product lifecycle–oriented knowledge service framework is …

The continuous increase of data volumes available from many sources raises new
challenges for their effective understanding. Knowledge discovery in large data repositories …