Data mining Classification is one of the most important tasks for different application such as medical, Education, industry, text categorization, tone recognition, image classification and data classification etc. The K-NN, Naïve Bayes and Neural Network classification algorithm is a popular classification technique. In this paper we have performed different normalization techniques on various cancer datasets. These techniques help in obtaining high training accuracy for classification. The experimental results to prove the betterment of proposed normalization and classification algorithm in terms of complexity and overall performance.
Volume 11 | 04-Special Issue
Pages: 847-854