Advanced Database Mining

Module Title:
Advanced Database Technology
Module Code:

Module Content
  • Basis expansions and regularization (piecewise polynomials, splines, filtering and feature Extraction).
  • Smoothing methods (smoothing splines, Kernel smoothing, wavelet smoothing).
  • Additive models, tree-based methods and boosting methods.
  • Boosting and additive trees
  • Neural networks.
  • Support vector machines and flexible discriminants.
  • Unsupervised learning (association rules, cluster analysis).
  • Random forests
  • Bayesian learning: Bayes' theorem to combine data information with other prior information. Bayesian analysis of conjugate models. Markov Chain Monte Carlo methods for Bayesian computations.
  • High-dimensional problems