Safe level graph for synthetic minority over-sampling techniques

• المؤلفون الرئيسيون: Chumphol Bunkhumpornpat, Sitthichoke Subpaiboonkit
• التنسيق: وقائع المؤتمر
• منشور في: 2018
• الموضوعات: Computer Science
• الوصول للمادة أونلاين: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84891076473&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/52410

In the class imbalance problem, most existent classifiers which are designed by the distribution of balance datasets fail to recognize minority classes since a large number of negative instances can dominate a few positive instances. Borderline-SMOTE and Safe-Level-SMOTE are over-sampling techniques...