Araujo, D.L.A. and Lopes, H.S. and Freitas, A.A.
Rule Discovery with a Parallel Genetic Algorithm.
In: Proc 2000 Genetic and Evolutionary Computation Conf Workshop Program, July 2000, Las Vegas, USA, .
(Full text available)
An important issue in data mining is scalability
with respect to the size of the dataset being
mined. In the paper we address this issue by
presenting a parallel GA for rule discovery. This
algorithm exploits both data parallelism, by
distributing the data being mined across all
available processors, and control parallelism, by
distributing the population of individuals across
all available processors.
- Depositors only (login required):