Knowledge discovery in databases: an overview
AI Magazine
ACODF: a novel data clustering approach for data mining in large databases
Journal of Systems and Software - Special issue: Performance modeling and analysis of computer systems and networks
Application of ant K-means on clustering analysis
Computers & Mathematics with Applications
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A space-based generic pattern for self-initiative load clustering agents
COORDINATION'12 Proceedings of the 14th international conference on Coordination Models and Languages
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Data mining is a process that uses technology to bridge the gap between data and logical decision-making. The jargon itself offers a promising view of organized data manipulation for extracting valuable information and knowledge from high volume of data. Copious techniques are developed to fulfill this aspiration. This paper outlines an ant colony optimization algorithm which is used newly in data mining mostly aiming solve data-clustering and data-classification problems and developed from imitating the technique of real ants finding the shortest way from their nests and the food source. This paper embodies an application aiming to cluster a data set with ant colony optimization algorithm and to increase the working performance of ant colony optimization algorithm used for solving data-clustering problem. We also propose two new techniques and show the increase on the performance with the addition of these suggested techniques.