期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2012
卷号：2
期号：4
页码：183-185
出版社：International Journal of Soft Computing & Engineering
摘要：The learning algorithms have great application in knowledge discovery. Learning algorithm offers new beneficiary ways in for real-world applications. Genetic Programming (GP) have some advantages due to which it become suitable for classification in data mining for Knowledge Discovery(KDD) This paper focuses on the classification by using the Genetic Programming. There are various types of the traditional classification techniques like Naïve Bayesian, ID3, C4.5, CART, kNN, k-mean, SVM etc. The proposed algorithm is implemented on the Diabetes data set and excremental results are compared with traditional approach
