Abstract

Classification is a data mining technique used to predict group membership for data instances [1]. There are several conventional methods for classification in data mining like Decision Tree Induction, Bayesian Classification, Rule-Based Classification, Classification by Backpropagation and classification by Lazy Learners. In this paper we propose a new modified tree for classification in Data Mining. The proposed modified Tree is inherited from the concept of the decision tree and knapsack problem. A very high dimensional data may be handled with the proposed tree and optimized classes may be generated.

How to Cite
KUMAR, DR. ANIL KUMAR KAPIL, ANUPAM BHATIA, Raj. Modified Tree Classification in Data Mining. Global Journal of Computer Science and Technology, [S.l.], feb. 2012. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/444>. Date accessed: 27 jan. 2021.