Empirical modeling of the score distributions associated with retrieved documents is an essential task for many retrieval applications. In this work, we propose modeling the releva...
The average consensus problem in the distributed signal processing context is addressed by linear iterative algorithms, with asymptotic convergence to the consensus. The convergen...
The search for unknown frequent pattern is one of the core activities in many time series data mining processes. In this paper we present an extension of the pattern discovery pro...
Abstract. We present MinervaDL, a digital library architecture that supports approximate information retrieval and filtering functionality under a single unifying framework. The a...
Christian Zimmer, Christos Tryfonopoulos, Gerhard ...
In this paper, we present a distributed Web service discovery architecture that is designed to be reliable, flexible and scalable. The architecture is based on the concept of dis...
Brahmananda Sapkota, Dumitru Roman, Sebastian Rysz...