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Big data analytics

Image of MWA telescope in outback Western Austtralia that collects big data
Part of the central core of the MWA telescope in the outback of Western Australia that collects 1000 TB of data a day that has to be processed in real time. Credit MWA project: Curtin University.

Big data refers to data sets that are so large or complex that traditional data analysis techniques cannot cope with them. Thus, new kinds of databases to store the data and algorithms to find meaningful patterns within the data are required.

The institute is employing these new methods in:

  • Radio Astronomy Data Processing
  • Bioinformatics
  • Remote Sensing
  • Multimodal Analysis and Sociocultural Modeling
  • Financial Analysis
  • Signal Processing
  • Ontology Engineering
  • Mapping Social Media Data
  • Desert Fireball Network
  • Spatial Sciences