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