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C4.5: Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993

Machine Learning volume 16, pages235–240(1994)Cite this article

References

  1. Breiman, L., and J. Friedman, R. Olshen, and C. Stone (1984).Classification and Regression Trees, Belmont, CA: Wadsworth International Group.

    Google Scholar 

  2. Mingers, J. (1989). An empirical comparison of pruning methods for decision tree induction.Machine Learning 4, 227–243.

    Google Scholar 

  3. Quinlan, J.R. (1986). Induction of Decision Trees.Machine Learning 1:1, 81–106.

    Google Scholar 

  4. Quinlan, J.R. (1989). Unknown attribute values in induction.Proceedings of the Sixth International Machine Learning Workshop (pp. 164–168). San Mateo, CA: Morgan Kaufmann.

    Google Scholar 

  5. Quinlan, J.R. (1992).C4.5 Programs for Machine Learning, San Mateo, CA: Morgan Kaufmann.

    Google Scholar 

  6. Schaffer, C. (1992). Deconstructing the digit recognition problem.Proceedings of the Ninth International Machine Learning Workshop (pp. 394–399). San Mateo, CA: Morgan Kaufmann.

    Google Scholar 

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  1. Department of Computer Science, Johns Hopkins University, 21218, Baltimore, MD

    Steven L. Salzberg

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  1. Steven L. Salzberg
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Salzberg, S.L. C4.5: Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993. Mach Learn 16, 235–240 (1994). https://doi.org/10.1007/BF00993309

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