Anomaly detection based on GS-OCSVM classification

Anomaly detection based on GS-OCSVM classification

© 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...

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Bibliographic Details
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
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Institution: Chiang Mai University

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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084086533&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/70441

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