An Improved Algorithm for Inducing Classification Rules using Optimized Features Extraction
Author Name : Deependra Singh Parihar
ABSTRACT Here in this paper a new and effectual methodology for Inducing of Classification rules using Optimization of Genetic Algorithm by Particle Swarm Optimization for the Extraction of Features and then Classifying these features or generate rules using Decision Tree based Algorithm such as J48. The Planned Procedure implemented here provides better accuracy as compared to Existing Methodology. Also the Projected Procedure selects all the dependent Features from the Dataset when various Experimental results performed on 16 Datasets.