Positive and unlabeled learning for anomaly detection

• Main Author: Zhang, Jiaqi
• Other Authors: Tan Yap Peng
• Format: Theses and Dissertations
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/75883
• Institution: 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...