- author = "James F. {Smith, III}",
- title = "Genetic Program Based Data Mining for Fuzzy Decision Trees",
- booktitle = "Intelligent Data Engineering and Automated Learning - IDEAL 2004, 5th International Conference, Proceedings",
- year = "2004",
- pages = "464--470",
- editor = "Zheng Rong Yang and Richard M. Everson and Hujun Yin",
- publisher = "Springer",
- series = "Lecture Notes in Computer Science",
- volume = "3177",
- ISBN = "3-540-22881-0",
- bibsource = "DBLP, http://dblp.uni-trier.de",
- address = "Exeter, UK",
- month = aug # " 25-27",
- organisation = "IEEE",
- keywords = "genetic algorithms, genetic programming, gene expression programming",
-
DOI = "
doi:10.1007/b99975",
- abstract = "A data mining procedure for automatic determination of fuzzy decision tree structure using a genetic program is discussed. A genetic program is an algorithm that evolves other algorithms or mathematical expressions. Methods of accelerating convergence of the data mining procedure including a new innovation based on computer algebra are examined. Experimental results related to using computer algebra are given. A comparison between a tree obtained using a genetic program and one constructed solely by interviewing experts is made. A genetic program evolved tree is shown to be superior to one created by hand using expertise alone. Finally, additional methods that have been used to validate the data mining algorithm are discussed",
-
notes = "http://www.dcs.ex.ac.uk/ideal04/
(1) Naval Research Laboratory, Code 5741, Washington, D.C., 20375-5000, Tel: 202.767.5358,",
