Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
Abstract—In this paper, a novel architecture for a streaming intrusion detection system for Grid computing environments is presented. Detection mechanisms based on traditional lo...
Matthew Smith, Fabian Schwarzer, Marian Harbach, T...
Interoperability between different Grid implementations is attracting more and more attention to seamlessly job execution. In this paper, one approach is proposed to implement the...
The problem of closed frequent itemset discovery is a fundamental problem of data mining, having applications in numerous domains. It is thus very important to have efficient par...
The Social Informatics Data Grid (SIDGrid) is a new cyberinfrastructure designed to transform how social and behavioral scientists collect and annotate data, collaborate and share...