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Realising community value through data mining.

Tuesday, 12th May 2015

IAPA Webinar - hosted 23 April by Daniel Emerson, PhD. Student at QUT.

Daniel shares with us the results of a collaborative research program conducted out of QUT, in partnership with CIEAM, the Queensland Government and the Department of Transport and Main Roads. Daniel will outline a data mining method using a rules learner based on multiple, semi-independent regression trees to analyze enterprise-wide, multivariate heterogeneous data.

DOWNLOAD REPORT: A copy of the presentation can also be download for reference.

For all enquiries, please contact Daniel Emerson directly at daniel.emerson@qut.edu.au

Researchers:

  • Daniel Emerson: QUT
  • A. Prof Richi Nayak: QUT
  • Justin Z. Weligamage: Principal Engineer-Asset Management, Toowoomba Regional Council

Programmer:

  • Dr Reza Hassanzadeh: QUT

Source: 'A data mining driven risk profiling method for road asset management’ ISBN: 978-1-4503-2174-7

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