The efficient execution of integration processes between distributed, heterogeneous data sources and applications is a challenging research area of data management. These inn proc...
As a result of the changing scope of data management towards the management of highly distributed systems and applications, integration processes have gained in imporuch integrati...
—Emerging applications of computer vision and pattern recognition in mobile devices and networked computing require the development of resourcelimited algorithms. Linear classifi...
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...