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Research Thesis Topic

Data Mining From Big Data Sources


Topic ID
93

Thesis Topic/Title
Data Mining From Big Data Sources

Description

We are now in the big data era and there are huge amounts of data available from where we can discover useful patterns and knowledge to support critical actions and decision-making processes using advanced data analytics and mining techniques. This project provides a abundance of research opportunities in many possible topics within data mining such as outlier detection, clustering, high-dimensional data analysis and data privacy, etc. Students will acquire useful skills and capacities that are in high demand from academia and industry.


Principal Supervisor

Associate Supervisors

Research Affiliations
  • Centre for Crop Health
  • School of Agricultural, Computational and Environmental Sciences

Field of Research
  • Artificial Intelligence and Image Processing
  • Data Format


Application Open Date
29/02/2016

Application Close Date
31/12/2020

USQ Scholarship Applications

Pre-approved for Ethics
No

Admission Requirements

Please review the admission requirements for the academic program associated with this Thesis Topic

Programming skills are expected. Knowledge in one or more of the following areas is useful: data mining, data management, databases, big data, machine learning and computational intelligence.




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