Introduction - If you have any usage issues, please Google them yourself
Extending the
approach for coping with continuous attributes presented by
cAnt-Miner (Ant-Miner coping with continuous attributes), in
this paper we propose two new methods for handling continuous
attributes in ACO classification algorithms. The first method
allows a more flexible representation of continuous attributes’
intervals. The second method explores the problem of attribute
interaction, which originates from the way that continuous
attributes are handled in cAnt-Miner, in order to implement
an improved pheromone updating method. Empirical evaluation
on eight publicly available data sets shows that the proposed
methods facilitate the discovery of more accurate classification
models.