Fundamental Issues in Data and Analytics Sciences
Program Leaders: UTS Distinguished Professor Louise Ryan
Researchers in this stream are unlocking the value of complex big data sets using data and analytics science. Our techniques include the use of statistics, information processing, visualisation, data mining and analytics, and machine learning innovations. This work has the potential to transform industry and to deliver stunning new insights from massive repositories of big data.
Currently, AAi researchers are working on frontier technologies and approaches in:
- data engineering
- acquisition and generation
- representation and modelling
- transformation and manipulation
- discretization and fuzzification
- coding and decoding
- quality and assurance
- characteristics and distribution
- dynamics and evolution
- access, indexing, query, search and management
- visualisation and presentation
- type and structure-specific analysis
- advanced analytics