PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams

• Published in: 2021 IEEE Global Communications Conference (GLOBECOM) pp. 01 - 06
• Main Authors: Yang, Li, Manias, Dimitrios Michael, Shami, Abdallah
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2021
• Subjects: Adaptation models; ADWIN; Analytical models; Concept Drift; Conferences; Data analysis; Data models; Data Streams; Degradation; Ensemble Learning; IoT; Online Learning; Performance evaluation

As the number of Internet of Things (IoT) devices and systems have surged, IoT data analytics techniques have been developed to detect malicious cyber-attacks and secure IoT systems; however, concept drift issues often occur in IoT data analytics, as IoT data is often dynamic data streams that chang...