A class skew-insensitive ACO-based decision tree algorithm for imbalanced data sets

• المؤلفون الرئيسيون: Mohd Razali, Muhamad Hasbullah, Saian, Rizauddin, Yap, Bee Wah, Ku-Mahamud, Ku Ruhana
• التنسيق: مقال
• اللغة: English
• منشور في: Institute of Advanced Engineering and Science 2021
• الموضوعات: QA75 Electronic computers. Computer science
• الوصول للمادة أونلاين: http://repo.uum.edu.my/27849/1/IJEECS%2020%201%202021%20412%20419.pdf; http://repo.uum.edu.my/27849/; http://ijeecs.iaescore.com/index.php/IJEECS/article/view/22253

Ant-tree-miner (ATM) has an advantage over the conventional decision tree algorithm in terms of feature selection. However, real world applications commonly involved imbalanced class problem where the classes have different importance. This condition impeded the entropy-based heuristic of existing A...