In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...
The increase in power and connectivity of computers has enabled a growth in network games, with many games having numerous servers to which a player can connect. The game server s...
Steven Gargolinski, Christopher St. Pierre, Mark C...
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Branch misprediction penalty consists of two components: the time wasted on mis-speculative execution until the mispredicted branch is resolved and the time to restart the pipelin...
Amit Gandhi, Haitham Akkary, Srikanth T. Srinivasa...