Personalised Data Analytics for the Internet of Me
Grant number: DP170102472 | Funding period: 2017 - 2022
This project aims to develop data mining methods for extracting comprehensive personalised knowledge, without breaching trust. The Internet of Things will lead to the Internet of Me. Billions of smart devices connected to the Internet record people’s lives. Companies wish to provide highly personalised services that engage their customers, while individuals wish to understand their health, lifestyle, education and personal performance. The challenge is to analyse individuals’ personal data, and discover how they differentiate from and overlap with others’. This project expects to enable businesses to deepen customer satisfaction and individuals to better understand their personal place in a ..View full description
Related publications (5)
Dimensionality-Driven Learning with Noisy Labels
X Ma, Yisen Wang, Michael E Houle, Shuo Zhou, Sarah M Erfani, Shu-tao Xia, Sudanthi Wijewickrema, James Bailey
Datasets with significant proportions of noisy (incorrect) class labels present challenges for training accurate Deep Neural Netwo..