Rule pruning techniques in the ant-miner classification algorithm and its variants: A review
Rule-based classification is considered an important task of data classification. The ant-
mining rule-based classification algorithm, inspired from the ant colony optimization …
mining rule-based classification algorithm, inspired from the ant colony optimization …
A new sequential covering strategy for inducing classification rules with ant colony 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 …
classification rules. In general, these algorithms follow a sequential covering strategy, where …
Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery
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 …
classification rule discovery in problem domains which include continuous attributes. In this …
Multiple pheromone types and other extensions to the Ant-Miner classification rule discovery algorithm
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 …
proposes five extensions to Ant-Miner:(1) we utilize multiple types of pheromone, one for …
Adaptive parameter control strategy for ant-miner classification algorithm
HNK Al-Behadili, R Sagban… - Indonesian Journal of …, 2020 - section.iaesonline.com
Pruning is the popular framework for preventing the dilemma of overfitting noisy data. This
paper presents a new hybrid Ant-Miner classification algorithm and ant colony system …
paper presents a new hybrid Ant-Miner classification algorithm and ant colony system …
A rule-based fuzzy ant colony improvement (ACI) approach for automated disease diagnoses
India has approximately seven qualified doctors for every 10,000 people, highlighting the
several issues confronting the medical industry, including physician insufficiency, slower …
several issues confronting the medical industry, including physician insufficiency, slower …
[PDF][PDF] Ant colony optimization algorithm for rule-based classification: Issues and potential solutions
Classification rule discovery using ant colony optimization (ACO) imitates the foraging
behavior of real ant colonies. It is considered as one of the successful swarm intelligence …
behavior of real ant colonies. It is considered as one of the successful swarm intelligence …
Using ant programming guided by grammar for building rule-based classifiers
The extraction of comprehensible knowledge is one of the major challenges in many
domains. In this paper, an ant programming (AP) framework, which is capable of mining …
domains. In this paper, an ant programming (AP) framework, which is capable of mining …
Learning Bayesian network classifiers using ant colony optimization
Bayesian networks are knowledge representation tools that model the (in) dependency
relationships among variables for probabilistic reasoning. Classification with Bayesian …
relationships among variables for probabilistic reasoning. Classification with Bayesian …
Ant colony algorithms for constructing Bayesian multi-net classifiers
Abstract Bayesian Multi-nets (BMNs) are a special kind of Bayesian network (BN) classifiers
that consist of several local Bayesian networks, one for each predictable class, to model an …
that consist of several local Bayesian networks, one for each predictable class, to model an …