Abstract
Mining classification rules from data is a key mission of data mining and is getting great attention in recent years. This paper presents a study of various Ant-miner algorithms for classification Rule extraction and their relative study by reflecting their advantages individually. Ant Colony based algorithms have been successfully implemented in different fields such as remote sensing problems, combinatorial problems, scheduling problems and the quadratic assignment problems. No single algorithm is efficient enough to crack problems from different fields. Hence, in this study some algorithms are presented which can be used according to one’s requirement. Modification and extension done to the ant colony based Ant-miner algorithm is discussed here.
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