Anomaly detection based on GS-OCSVM classification

• Main Authors: Kittikun Kittidachanan, Watha Minsan, Donlapark Pornnopparath, Phimphaka Taninpong
• Format: Conference Proceeding
• Published: 2020
• Subjects: Computer Science; Decision Sciences
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084086533&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/70441
• Institution: Chiang Mai University

© 2020 IEEE. This research aims to apply one-class support vector machine classifier (OCSVM) for anomaly detection and estimate the hyperparameters of OCSVM using the grid search method. The proposed grid search one-class support vector machine algorithm (GS-OCSVM) is then applied to the fraud detec...