Bradley PS, Fayyad UM, Mangasarian OL. Mathematical programming for data mining: formulations and challenges. INFORMS Journal on Computing 1999;11(3):217--38. Home/Search Document Details and Download
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....use parallel computers. In future work we will further investigate the usage of wavelets and look at other applications like density estimation, clustering and time series analysis. A di#erent discussion of some of the challenges from the point of view of mathematical programming can be found in [11]. Acknowledgements The research in this report was a joint e#ort by the author and P.Christen, W.Clarke, G.Hooker, I.McIntosh, O.Nielsen, N.Potter, S.Roberts, V.Pestov, P.Williams and C.Zoppou from the Computer Sciences Laboratory at the ANU, by S.Bakin and B.Turlach from the School of ....
P. S. Bradley, Usama M. Fayyad, and O. L. Mangasarian. Mathematical programming for data mining: formulations and challenges. INFORMS J. Comput., 11(3):217--238, 1999.
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....1 Introduction Many different problems from the realm of classification and clustering, have been formulated as optimization problems. Examples of problems that have been recently studied include Schulman s new work [11] and others (see, for example, Bradley, Fayyad, and Mangasarian s survey [2]) Formulations such as [11] model what is essentially an unsupervised learning problem, where the clusters are determined entirely by optimization criteria that endeavor to capture how tightly the points clump together. By contrast, this paper considers a clustering problem modeled by a much ....
P.S. Bradley, Usama M. Fayyad, and O.L. Mangasarian. Mathematical programming for data mining: Formulatons and challenges. Technical report, January 1998.
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Bradley PS, Fayyad UM, Mangasarian OL. Mathematical programming for data mining: formulations and challenges. INFORMS Journal on Computing 1999;11(3):217--38.
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P. S. Bradley, U. M. Fayyad, and O. L. Mangasarian. Mathematical programming for data mining: formulations and challenges. INFORMS Journal on Computing, 11(3):217--238, 1999. 44
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Bradley, P. S., Fayyad, U. M., and Mangasarian, O. L., "Mathematical programming for data mining: Formulations and challenges," INFORMS Journal on Computing, Vol. 11, 1999, pp. 217--238.
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P. S. Bradley, U. M. Fayyad, and O. L. Mangasarian. Mathematical programming for data mining: formulations and challenge. Microsoft Technical Report, January 1998.
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Bradley, P. S., Fayyad, U. M., and Mangasarian, O. L. 1999. Mathematical Programming for Data Mining: Formulations and Challenges. Informs Journal of Computing 3.
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