The 14th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'2013).
Swarm intelligence is a recent trend in computational intelligence and popular for the simplicity of its realizations, such as particle swarm optimization (PSO), ant colony optimization (ACO), bee colony optimization (BCO), and the like. As optimization techniques, methods in swarm intelligence have been applied to many aspects in the fields of data engineering and automated learning. For example, as reported in the literature, PSO has been adopted to handle data clustering, and ACO has been employed to solve the problem of classification.
On the other hand, advances in data mining, an important section in data engineering and automated learning, also assist optimization algorithm designers to develop better methods. For instance, Apriori algorithm has been utilized for finding the relationship among decision variables for optimizers. In order to bridge the concepts and methodologies from the two ends, this special session concentrates on the related topics of integrating and utilizing algorithms in swarm intelligence and data mining. It provides the opportunity for practitioners handling their data mining issues by using swarm intelligence methodologies and for researchers investigating swarm intelligence with data mining approaches to share findings and look into future directions.