@inproceedings{smith2006guiding,
	Abstract = {A data mining procedure for automatic determination of fuzzy decision tree structure using a genetic program is discussed. A genetic program (GP) is an algorithm that evolves other algorithms or mathematical expressions. Methods for accelerating convergence of the data mining procedure are examined. The methods include introducing fuzzy rules into the GP and a new inno- vation based on computer algebra. Experimental results related to using com- puter algebra are given. Comparisons between trees created using a genetic program and those constructed solely by interviewing experts are made. Connections to past GP based data mining procedures for evolving fuzzy decision trees are established. Finally, experimental methods that have been used to validate the data mining algorithm are discussed.},
	Author = {{Smith, III}, James and Nguyen, ThanhVu},
	Booktitle = {Intelligent Data Engineering and Automated Learning (IDEAL)},
	Keywords = {Genetic Programs, Fuzzy Logic, Data Mining, Control Algorithms, Planning Algorithms.},
	Pages = {1337-1345},
	Publisher = {Springer},
	Title = {{Guiding Genetic Program Based Data Mining Using Fuzzy Rules}},
	Url_paper = {Pub/ggpbdmufr.pdf},
	Year = {2006}}

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