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    Chapter and Conference Paper

    An Ant Clustering Method for a Dynamic Database

    We propose an adaptive ant colony data clustering algorithm for a dynamic database. The algorithm uses a digraph where the vertices represent the data to be clustered. The weight of the edge represents the acc...

    Ling Chen, Li Tu, Yixin Chen in Advances in Machine Learning and Cybernetics (2006)

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    Chapter and Conference Paper

    Parallel Mining for Classification Rules with Ant Colony Algorithm

    A parallel ant colony algorithm for mining the classification rules is presented. By preprocessing classification information on databases and combining ACO with parallel strategies, our algorithm could extrac...

    Ling Chen, Li Tu in Computational Intelligence and Security (2005)

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    Chapter and Conference Paper

    A Novel Ant Clustering Algorithm with Digraph

    A novel adaptive ant colony clustering algorithm based on digraph (A3CD) is presented. Inspired by the swarm intelligence shown through the social insects’ self-organizing behavior, in A3CD we assign acceptance w...

    Ling Chen, Li Tu, Hongjian Chen in Advances in Natural Computation (2005)