Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Distributed Hash Tables (DHTs) provide a scalable solution for data sharing in P2P systems. To ensure high data availability, DHTs typically rely on data replication, yet without ...
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
This paper presents results from a comparative evaluation of five combination strategies. Combination strategies are test case selection methods that combine "interesting&quo...
C's volatile qualifier is intended to provide a reliable link between operations at the source-code level and operations at the memorysystem level. We tested thirteen product...