Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
In this paper, we present new approaches to handling drift and shift in on-line data streams with the help of evolving fuzzy systems (EFS), which are characterized by the fact tha...
This paper focuses on the problem of improving distributed query throughput of the RDBMS-based data integration system that has to inherit the query execution model of the underly...
Data integration from multiple autonomous data sources has emerged as an important practical problem. The key requirement for such data integration is that owners of such data nee...
Amr El Abbadi, Aziz Gulbeden, Divyakant Agrawal, F...
In [12] we introduce a novel architecture for data processing, based on a functional fusion between a data and a computation layer. In this demo we show how this architecture is le...
Radu Sion, Ramesh Natarajan, Inderpal Narang, Thom...