Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
Abstract. Intrusion detection systems gather large quantities of host and network information in an attempt to detect and respond to attacks against an organization. The widely var...
Data grids, large scale web applications generating dynamic content and database service providing pose significant scalability challenges to database engines. Replication is the ...
—In this paper, we present a UML metamodel-based approach for creating and executing workflow models. The modeling language is introduced through its abstract syntax, and an eval...