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Original Articles

Comparisons of decision tree methods using water data

, , , &
Pages 2924-2934 | Received 22 Jan 2015, Accepted 22 Jun 2015, Published online: 20 Dec 2016

References

  • Astel, A., Tsakovski, S., Barbieri, P., Simeonov, V. (2007). Comparison of self-organizing maps classification approach with cluster and principal components analysis for large environmental data sets. Water Research 41(19):4566–4578.
  • Azam, M., Zaman, Q., Pfeiffer, K. P. (2007). Improved classification trees with two or more classes. In: Proceedings of the 9th Islamic Countries Conferences on Statistical Sciences, Lahore, Pakistan, pp. 608–626.
  • Azoulay, A., Garzon, P., Eisenberg, M..J. (2004). Comparison of the mineral content of tap water and bottled waters. Journal of General Internal Medicine 16:168–175.
  • Baroni, L., Cenci, L., Tettamanti, M., Berati, M. (2007). Evaluating the environmental impact of various dietary patterns combined with different food production systems. European Journal of Clinical Nutrition 61(2):279–286.
  • Berzal, F., Cubero, J. C., Cuenca, F., Martín-Bautista, M. J. (2003). On the quest for easy-to-understand splitting rules. Data & Knowledge Engineering 44(1):31–48.
  • Bleich, V. C., Andrew, N. G., Martin, M. J., Mulachy, G. P., Pauli, A. M., Rosentock, S. S. (2006). Wildlife Society Bulletin 3(34):627–632.
  • Breiman, L., Friedman, J. H., Olshen, R. A., Stone, C. J. (1984). Classification and Regression Trees. Belmont, CA: Wadsworth International Group.
  • Bremner, A. P., Taplin, R. H. (2002). Theory & methods: Modified classification and regression tree splitting criteria for data with interactions. Australian & New Zealand Journal of Statistics 44(2):169–176.
  • Chawla, R., Hunter, P. R. (2005). Classification of bathing water based on the parametric calculation of percentiles is unsounded. Water Quality 39(18):4552–4558.
  • Clark, L. A., Pregibon, D., Chambers, J. M., Hastie, T. J. (1992). Statistical models in S. chapter Tree-Based Models 377--419.
  • Cooke, K. (1914). Our water supply. The American Journal of Nursing 14:524–526.
  • Doyle, P. (1973). The use of automatic interaction detector and similar search procedures. Operational Research Quarterly 24(3):465–467.
  • Doyle, P., Fenwick, I. (1975). The pitfalls of AID analysis. Journal of Marketing Research 12(4):408–413.
  • Gupta, A. K., Gupta, S. K., Patil, R. S. (2003). A comparison of water quality indices for coastal water. Journal of Environmental Science and Health. Part A, Toxic/Hazardous Substances and Environmental Engineering, 38(11):2711–2725.
  • JAMA (2010). Safe water treatment and storage in the home. JAMA 12(273):948–953.
  • Kass, G. V. (1980). An exploratory technique for investigating large quantities of categorical data. Applied Statistics 29:119–127.
  • Kulshreshtha, S. N. (1998). A global outlook for water resources to the source 2025. Water Resources Management 12(3):167–184.
  • Lim, T. S., Loh, W. Y., Shih, Y. S. (1998). An Empirical Comparison of Decision Trees and Other Classification Methods. Technical Report 979, Madison, WI: Department of Statistics, University of Wisconsin.
  • Loh, W. Y., Shih, Y. S. (1997). Split selection methods for classification trees. Statistica Sinica 7:815–840.
  • Loh, W. Y., Vanichsetakul, N. (1988). Tree-structured classification via generalized discriminant analysis (with discussion). Journal of the American Statistical Association 83:715–728.
  • Maciunas, J. L., Deininger, R. A. (1976). A comparison of several water quality indexes. Water Pollution Control Federation 48(5):954–958.
  • Martinez, W. L., Martinez, A. R. (2002). Computational Statistics Handbook with MATLAB. Boca Raton, FL: Chapman and Hall/CRC.
  • Morgan, J. N., Messenger, R. C. (1973). THAID: A sequential search program for the analysis of nominal scale dependent variables. Ann Arbor, MI: Survey Research Center, Institute for Social Research, University of Michigan.
  • Morgan, J. N., Sonquist, J. A. (1963). Problems in the analysis of survey data, and a proposal. Journal of the American Statistical Association 58(302):415–434.
  • Motamarri, S., Boccelli, D. L. (2012). Development of a neural-based forecasting tool to classify recreational water quality using fecal indicator organisms. Water Quality 46(14):4508–4520.
  • Noguchi, M., Wataru, N. (1999). Comparison of water quality based on chemical and biological viewpoints. Reports of the Faculty of Engineering, Nagasaki University 29(53):303–307.
  • Quinlan, J. R. (1986). Induction of decision trees. Machine Learning 1:81–106.
  • Quinlan, J. R. (1993). C4.5 Programs for Machine Learning. San Mateo, CA: Morgan Kaufmann Publishers.
  • Rao, C. R., Wegman, E. J., Solka, J. L. (2005). Handbook of Statistics, Vol. 24: Data Mining and Data Visualization. North Holland: Elsevier B.V.
  • Ripley, B. D. (1996). Pattern Recognition and Neural Networks. New York, NY: Cambridge.
  • Safavian, S., Landgrebe, D. (1991). A survey of decision tree classifier methodology. IEEE Transaction on Systems, Man and Cybernetics 21(3):1–58.
  • Steinberg, D., Phillip, C. (1995). CART: Tree-Structured NonParametric Data Analysis. San Diego, CA: Salford Systems.
  • Taylor, P. C., Silverman, B. W. (1993). Block diagrams and splitting criteria for classification trees. Statistics and Computing 3:147–161.
  • Therneau, T. M., Atkinson, E. J. (1997). An Introduction to Recursive Partitioning Using Rpart Routine. Technical Report 61, Rochester: Mayo Clinic, Section of Statistics.
  • Therneau, T. M., Atkinson, E. J. (2011). Package “rpart”. CRAN Repository. WU Wien, Austria: Department of Statistics and Mathematics.

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