Big Data Knowledge Discovery: Machine Learning meets Natural Science

  • Kane, Deb (Primary Chief Investigator)
  • Westoby, Mark (Chief Investigator)
  • Falster, Daniel (Chief Investigator)
  • Smith, Paul (Chief Investigator)
  • Durrant-Whyte, Hugh (Partner Investigator)
  • Mendes, Chris (Partner Investigator)
  • MQRES, MQRES (Student)
  • MQRES 2, MQRES 2 (Student)
  • Müller, Dietmar (Chief Investigator)

Project: Research

Project Details

Description

The Big Data Knowledge Discovery (BDKD) portal is created as part of BDKD project, an interdisciplinary research initiative that focuses on the scientific challenges and opportunities presented by the use of the new techniques of data science applied in the natural sciences. This research initiative brings together world class discipline leaders in the data-intensive sciences of Geo Sciences, Life Sciences and Physical Sciences with leaders in Information and Communications Technology with theoretical and practical understanding of very large and complex data sets. This project is funded by the Science and Industry Endowment Fund (http://www.sief.org.au ).
StatusFinished
Effective start/end date28/04/131/08/16