Abstract. This paper shows how multi-dimensional functions, describing the operation of complex equipment, can be learned. The functions are points in a shape space, each produced ...
The classification task is one of the most important problems in the area of data mining. In this paper we propose a new algorithm for addressing this problem. The main idea deriv...
In this paper we describe the architecture and initial performance analysis results of the SERVOGrid Complexity Computational Environments (CCE). The CCE architecture is based on ...
Galip Aydin, Mehmet S. Aktas, Geoffrey Fox, Harsha...
Hierarchical clustering methods are important in many data mining and pattern recognition tasks. In this paper we present an efficient coarse grained parallel algorithm for Single...
Abstract. Several new miners for frequent subgraphs have been published recently. Whereas new approaches are presented in detail, the quantitative evaluations are often of limited ...