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Chee Keong Wee
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2020 – today
- 2022
- [j3]Chee Keong Wee, Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Jennifer Chen, Rashmi Gururajan, Nathan Wee, Prabal Datta Barua:
Automated Triaging Medical Referral for Otorhinolaryngology Using Data Mining and Machine Learning Techniques. IEEE Access 10: 44531-44548 (2022) - 2021
- [c9]Chee Keong Wee, Nathan Wee:
Adaptive Fault Diagnosis for Data Replication Systems. ADC 2021: 125-138 - [c8]Chee Keong Wee, Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Nathan Wee:
Adaptive Fault Resolution for Database Replication Systems. ADMA 2021: 368-381 - [c7]Chee Keong Wee, Nathan Wee:
Outlier Detection for GP Referrals in Otorhinolaryngology. AIME 2021: 444-451 - 2020
- [c6]Chee Keong Wee, Richi Nayak:
Adaptive Data Replication Optimization Based on Reinforcement Learning. SSCI 2020: 1210-1217
2010 – 2019
- 2019
- [j2]Chee Keong Wee, Richi Nayak:
A novel machine learning approach for database exploitation detection and privilege control. J. Inf. Telecommun. 3(3): 308-325 (2019) - [j1]Chee Keong Wee, Richi Nayak:
Adaptive load forecasting using reinforcement learning with database technology. J. Inf. Telecommun. 3(3): 381-399 (2019) - [c5]Chee Keong Wee, Richi Nayak:
Data Replication Optimization Using Simulated Annealing. AusDM 2019: 222-234 - [c4]Chee Keong Wee, Richi Nayak:
Adaptive Database's Performance Tuning Based on Reinforcement Learning. PKAW 2019: 97-114 - 2018
- [c3]Chee Keong Wee, Richi Nayak:
A Novel Load Forecasting System Leveraging Database Technology. ACIIDS (Extended Posters) 2018: 491-503 - [c2]Chee Keong Wee, Richi Nayak:
A Novel Database Exploitation Detection and Privilege Control System Using Data Mining. ACIIDS (Extended Posters) 2018: 505-516 - [c1]Chee Keong Wee, Richi Nayak:
An Approach to Compress and Represents Time Series Data and Its Application in Electric Power Utilities. AusDM 2018: 107-120
Coauthor Index
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