This paper surveys the intersection of two fascinating and increasingly popular domains:
swarm intelligence and data mining. Whereas data mining has been a popular academic …

The Ant Colony Optimization (ACO) algorithms have been well‐studied by the Operations
Research community for solving combinatorial optimization problems. A handful of …

Decision trees have been widely used in data mining and machine learning as a
comprehensible knowledge representation. While ant colony optimization (ACO) algorithms …

Ant colony optimization (ACO) algorithms have been successfully applied to discover a list of
classification rules. In general, these algorithms follow a sequential covering strategy, where …

Ant colony optimization (ACO) has been successfully applied to classification, where the aim
is to build a model that captures the relationships between the input attributes and the target …

Ant colony optimization (ACO) algorithms have been successfully applied in data
classification, which aim at discovering a list of classification rules. However, due to the …

This paper proposes a novel ant colony optimisation (ACO) algorithm tailored for the
hierarchical multi-label classification problem of protein function prediction. This problem is …

Ant-Miner is an ant-based algorithm for the discovery of classification rules. This paper
proposes five extensions to Ant-Miner:(1) we utilize multiple types of pheromone, one for …

Rule-based classification is considered an important task of data classification. The ant-
mining rule-based classification algorithm, inspired from the ant colony optimization …

The cAnt-Miner algorithm is an Ant Colony Optimization (ACO) based technique for
classification rule discovery in problem domains which include continuous attributes. In this …