An Accurate Classification Algorithm with Genetic Algorithm Approach
Publish Year: 1392
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJOCIT-1-3_002
تاریخ نمایه سازی: 16 فروردین 1395
Abstract:
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
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Authors
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