Mining software repositories for comprehensible software fault prediction models
Journal of Systems and Software
cAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes
ANTS '08 Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence
Predicting going concern opinion with data mining
Decision Support Systems
Inferring comprehensible business/ICT alignment rules
Information and Management
Building acceptable classification models for financial engineering applications: thesis summary
ACM SIGKDD Explorations Newsletter
Aggregation Pheromone Density Based Pattern Classification
Fundamenta Informaticae
Using an ant colony metaheuristic to optimize automatic word segmentation for ancient Greek
IEEE Transactions on Evolutionary Computation
An integrated framework of hybrid evolutionary computations
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Discovering classification rules for email spam filtering with an ant colony optimization algorithm
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Ant estimator with application to target tracking
Signal Processing
Ant clustering PHD filter for multiple-target tracking
Applied Soft Computing
Building comprehensible customer churn prediction models with advanced rule induction techniques
Expert Systems with Applications: An International Journal
Extensions to the ant-miner classification rule discovery algorithm
ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
Off-line vs. on-line tuning: a study on MAX–MIN ant system for the TSP
ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
An adaptive knowledge evolution strategy for finding near-optimal solutions of specific problems
Expert Systems with Applications: An International Journal
A hybrid ant colony optimization technique for power signal pattern classification
Expert Systems with Applications: An International Journal
Identifying financially successful start-up profiles with data mining
Expert Systems with Applications: An International Journal
Cellular ants: A method to create collision free trajectories for a cooperative robot team
Robotics and Autonomous Systems
An improved ant algorithm for fuzzy data mining
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
Ant colony optimization for logistic regression and its application to wine quality assessment
MMES'10 Proceedings of the 2010 international conference on Mathematical models for engineering science
Tuning metaheuristics: A data mining based approach for particle swarm optimization
Expert Systems with Applications: An International Journal
EvoCOP'11 Proceedings of the 11th European conference on Evolutionary computation in combinatorial optimization
Exploring ant colony optimisation for adaptive interactive search
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
A multi-level ant-colony mining algorithm for membership functions
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Multi-Objective ant programming for mining classification rules
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
An evolutionary approach to rank class association rules with feedback mechanism
Expert Systems with Applications: An International Journal
A fuzzy classification system based on Ant Colony Optimization for diabetes disease diagnosis
Expert Systems with Applications: An International Journal
Performance of classification models from a user perspective
Decision Support Systems
A study of different quality evaluation functions in the cAnt-Miner(PB) classification algorithm
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Aggregation Pheromone Density Based Pattern Classification
Fundamenta Informaticae
Extensions of ant-miner algorithm to deal with class imbalance problem
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Optimizing the modified fuzzy ant-miner for efficient medical diagnosis
Applied Intelligence
ABC-miner: an ant-based bayesian classification algorithm
ANTS'12 Proceedings of the 8th international conference on Swarm Intelligence
A Clustering Ant Colony Algorithm for the Long-Term Car Pooling Problem
International Journal of Swarm Intelligence Research
Description and composition of bio-inspired design patterns: a complete overview
Natural Computing: an international journal
Aggregation pheromone metaphor for semi-supervised classification
Pattern Recognition
Parallel multi-objective Ant Programming for classification using GPUs
Journal of Parallel and Distributed Computing
International Journal of Information Systems and Social Change
Detection of artifacts from high energy bursts in neonatal EEG
Computers in Biology and Medicine
A new hybrid metaheuristic for medical data classification
International Journal of Metaheuristics
Ant Colony Algorithms for Data Learning
International Journal of Applied Evolutionary Computation
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Ant colony optimization (ACO) can be applied to the data mining field to extract rule-based classifiers. The aim of this paper is twofold. On the one hand, we provide an overview of previous ant-based approaches to the classification task and compare them with state-of-the-art classification techniques, such as C4.5, RIPPER, and support vector machines in a benchmark study. On the other hand, a new ant-based classification technique is proposed, named AntMiner+. The key differences between the proposed AntMiner+ and previous AntMiner versions are the usage of the better performing MAX-MIN ant system, a clearly defined and augmented environment for the ants to walk through, with the inclusion of the class variable to handle multiclass problems, and the ability to include interval rules in the rule list. Furthermore, the commonly encountered problem in ACO of setting system parameters is dealt with in an automated, dynamic manner. Our benchmarking experiments show an AntMiner+ accuracy that is superior to that obtained by the other AntMiner versions, and competitive or better than the results achieved by the compared classification techniques.