Adaptive parameter control strategy for ant-miner classification algorithm

• المؤلفون الرئيسيون: Al-Behadili, Hayder Naser Khraibet, Sagban, Rafid, Ku-Mahamud, Ku Ruhana
• التنسيق: مقال
• اللغة: English
• منشور في: Institute of Advanced Engineering and Science 2020
• الموضوعات: QA75 Electronic computers. Computer science
• الوصول للمادة أونلاين: http://repo.uum.edu.my/27854/1/IJEEI%208%201%202020%20149%20162.pdf; http://repo.uum.edu.my/27854/; http://section.iaesonline.com/index.php/IJEEI/article/view/1423

Pruning is the popular framework for preventing the dilemma of over fitting noisy data. This paper presents a new hybrid Ant-Miner classification algorithm and ant colony system (ACS), called ACS-Ant Miner. A key aspect of this algorithm is the selection of an appropriate number of terms to be inc...