Yeganeh Madadi - Department of Computer Science Amirkabir University of Technology Tehran Iran
Mohammad Ebrahim Shiri Ahmadabadi - Department of Computer Science Amirkabir University of Technology Tehran Iran
Yaghoot Madadi - Department of Computer Engineering University of Guilan

The importance of employing classifiers with high accuracy in many applications in real life is important. Developmental process to construct the high accuracy classification rules by using the features associated with noisy information and duplication is avoided. Our algorithm is compared with 7 known classification algorithms in 9 different areas of application. Experimental results using several non-parametric statistical tests that are used in classification are investigated. The results show that our algorithm achieves the best competitive accuracy and that’s why it can be recognized as an accurate classifier

Genetic algorithms, classification, data mining, classification rules