Positive and unlabeled learning for anomaly detection

• المؤلف الرئيسي: Zhang, Jiaqi
• مؤلفون آخرون: Tan Yap Peng
• التنسيق: Theses and Dissertations
• اللغة: English
• منشور في: 2018
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: http://hdl.handle.net/10356/75883
• المؤسسة: Nanyang Technological University

Anomaly detection is of great interest to big data applications but still remains a challenging problem for machine learning-based methods. For unsupervised learning, the performance may not be satisfactory due to the lack of label information while for supervised learning, it is difficult to acquir...