Chang How Tan

According to our database, Chang How Tan authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Compliance Analyses of Australia's Online Household Appliances.

Chang How Tan, Vincent C. S. Lee, Jessie Nghiem, Priya Laxman

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

A Unified Framework for Anomaly and Concept Drift Detection with Explainability.

Chang How Tan

PhD thesis, 2022

Information resources estimation for accurate distribution-based concept drift detection.

Chang How Tan, Vincent C. S. Lee, Mahsa Salehi

Inf. Process. Manag., 2022

2021

A Fully Unsupervised and Efficient Anomaly Detection Approach with Drift Detection Capability.

Chang How Tan, Vincent C. S. Lee, Mahsa Salehi, Slaven Marusic, Srimal Jayawardena, Dion Lucke

Proceedings of the 2021 International Conference on Data Mining, 2021

2020

MIR_MAD: An Efficient and On-line Approach for Anomaly Detection in Dynamic Data Stream.

Chang How Tan, Vincent C. S. Lee, Mahsa Salehi

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

Online Semi-Supervised Concept Drift Detection with Density Estimation.

Chang How Tan, Vincent C. S. Lee, Mahsa Salehi

CoRR, 2019