Data Mining
Griffith SciencesInformation And Communication Technology
Description
Data Mining and analysis: Data mining algorithms, Associative and sequential patterns, Market basket analysis, Bayesian modeling and maximum likelihood estimation techniques. Application of supervised learning methods, correlation analysis, linear regression, modeling spatial and temporal data such as via hidden Markov models, data visualisation.
Course outline
Checking availability…
Preview the 5 closest equivalencies already indexed in our system
3804ICT has possible credit equivalents including COMP251 at McGill University.