Associative classification is a promising classification approach that utilises association rule mining to construct accurate classification models. In this paper, we investigate ...
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
Abstract Content Delivery Networks (CDNs) provide an efficient support for serving http and streaming media content while minimizing the network impact of content delivery as well...
This paper presents the design of G, a new language specifically created for generic programming. We review and identify important language features of C++ and Haskell in light o...
Abstract. CirCUs is a satisfiability solver that works on a combination of AndInverter-Graph, CNF clauses, and BDDs. It has been designed to work well with bounded model checking. ...