Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
: The World-Wide-Web contains data that cannot be constrained by a schema. Another source for such data is heterogenous corporate systems which are integrated in order to get bette...
Innovative scientific applications and emerging dense data sources are creating a data deluge for highend computing systems. Processing such large input data typically involves cop...
Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhk...
Many adaptative context-aware middleware exist and mostly rely on so-called vertical architectures that offer a functional decomposition for context-awareness. This architecture ...
Nicolas Ferry, Stephane Lavirotte, Jean-Yves Tigli...
This paper presents Weka4WS, a framework that extends the Weka toolkit for supporting distributed data mining on Grid environments. Weka4WS adopts the emerging Web Services Resourc...