—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
The paper proposes an approach to content dissemination that exploits the structural properties of XML Document Object Model in order to provide efficient dissemination by at the...
This paper introduces a lightweight, scalable and accurate framework, called Meridian, for performing node selection based on network location. The framework consists of an overla...
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Abstract. We describe and model a new aspect in the design of distributed information systems. We build upon a previously described problem on the microlevel, which asks how quickl...