Unsupervised learning of finite mixture models in data mining applications (2003)

Abstract:
The extraction of useful information from massively large databases is known as data mining. Its broad but vague goal is to find ''
Grant type:
ARC Discovery Projects
Researchers:
  • Professor
    School of Mathematics and Physics
    Faculty of Science
    Professor
    School of Mathematics and Physics
    Faculty of Science
Funded by:
Australian Research Council