@ARTICLE{Chawla_01,
    AUTHOR      = {N. Chawla and S. Eschrich and L. O. Hall},
    TITLE       = {{Creating Ensembles of Classifiers}},
    JOURNAL     = {{IEEE International Conference on Data Mining}},
    YEAR        = {2001},
    VOLUME      = {},
    NUMBER      = {},
    PAGES       = {580--581},
    MONTH       = {},
    NOTE        = {},
    KEY         = {},
    KEYWORDS    = {},
    ISBN        = {},
    URL         = {http://citeseer.nj.nec.com/chawla00creating.html},
    ABSTRACT    = {Ensembles of classifiers offer promise in increasing overall
classification accuracy. In this paper, we look at distributed learning by training classifiers on eitehr random disjoint subsets or subsets created by a clustering algorithm. We examine a random partitioning method to creat disjoint subsets and propose a more intelligent way of partitioning into disjoint subsets using clustering.},
}