Abstract
Although genetic algorithm-based decision tree algorithms are applied successfully in various classification tasks, their execution times are quite long on large datasets. A novel decision tree algorithm, called Real-Coded Genetic Algorithm-based Linear Decision Tree Algorithm with k-D Trees (RCGA-based LDT with kDT), is proposed. In the proposed algorithm, a k-D tree is built when a new node of a linear decision tree is created. The use of k-D trees speeds up the construction of linear decision trees without sacrificing the quality of the constructed decision trees.
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References
Bentley, J.L.: Multidimensional Binary Search Trees Used for Associative Searching. Communications of the ACM 18(9), 509–517 (1975)
Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J.: Classification and Regression Trees. Wadsworth International Group, Belmont (1984)
Brodley, C.E., Utgoff, P.E.: Multivariate Decision Trees. UM-CS-1992-083 (1992)
Cantú-Paz, E., Kamath, C.: Inducing Oblique Decision Trees with Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation 7(1), 54–68 (2003)
Chai, B.B., Huang, T., Zhuang, X., Zhao, Y., Sklansky, J.: Piecewise Linear Classifiers using Binary Tree Structure and Genetic Algorithm. Pattern Recognition 29(11), 1905–1917 (1996)
Gama, J.: Oblique Linear Tree. In: Liu, X., Cohen, P.R., Berthold, M.R. (eds.) IDA 1997. LNCS, vol. 1280, pp. 187–198. Springer, Heidelberg (1997)
Heath, D., Kasif, S., Salzberg, S.: Induction of Oblique Decision Trees. In: Proceedings of the 13th International Joint Conference on Artificial Intelligence, pp. 1002–1007 (1993)
Herrera, F., Lozano, M., Verdegay, J.L.: Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis. Artificial Intelligence Review 12(4), 265–319 (1998)
Holland, J.H.: Adaption in Natural and Artificial Systems. MIT Press, Cambridge (1975)
Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs. Springer, New York (1996)
Murthy, S.K., Kasif, S., Salzberg, S.: A System for Induction of Oblique Decision Trees. Journal of Artificial Intelligence Research 2, 1–32 (1994)
Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1993)
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Ng, Sc., Leung, Ks. (2005). Induction of Linear Decision Trees with Real-Coded Genetic Algorithms and k-D Trees. In: Gallagher, M., Hogan, J.P., Maire, F. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2005. IDEAL 2005. Lecture Notes in Computer Science, vol 3578. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11508069_35
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DOI: https://doi.org/10.1007/11508069_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26972-4
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