We introduce the problem of cluster-grouping and show that it integrates several important data mining tasks, i.e. subgroup discovery, mining correlated patterns and aspects from c...
This paper proposes an application-transparent, low-overhead checkpointing strategy for maintaining consistency of control structures in a commercial main memory database (MMDB) sy...
Long Wang, Zbigniew Kalbarczyk, Ravishankar K. Iye...
We introduce collapsed flushing, a new flushing-based refinement map for automatically verifying safety and liveness properties of term-level pipelined machine models. We also pre...
Roma Kane, Panagiotis Manolios, Sudarshan K. Srini...
The objective of this paper is to characterize classes of problems for which a greedy algorithm finds solutions provably close to optimum. To that end, we introduce the notion of k...
Spatial Extension PSO (SEPSO) and Attractive-Repulsive PSO (ARPSO) are methods for artificial injection of diversity into particle swarm optimizers that are intended to encourage ...