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  • A scalable expressive ensemble learning using random prism: a mapreduce approach. 

    Stahl, Frederic; May, David; Mills, Hugo; Bramer, Max; Gaber, Mohamed Medhat (Springer Verlag Berlin Heidelberg http://dx.doi.org/10.1007/978-3-662-46703-9_4, 2015-03)
    STAHL, F., MAY, D., MILLS, H., BRAMER, M., and GABER, M., 2015. A scalable expressive ensemble learning using random prism: a mapreduce approach. In: A. HAMEURLEING, J. KING, R. WAGNER, S.SAKR, L. WANG and A. SOMAYA, eds. Transactions on large-scale data- and knowledge-centered systems XX: special issue on advanced techniques for big data management. Pp. 90-107.
    The induction of classification rules from previously unseen examples is one of the most important data mining tasks in science as well as commercial applications. In order to reduce the infl uence of noise in the ...