Research

Area

  • Semi-supervised Learning
  • Data Mining.

Techniques

  • Optimization (Lp-Norm)
  • Graphs (Coloring and Spectral)
  • Topological Models (SOM)

Tasks

  • Regression
  • Multi-label analysis
  • Feature selection
  • Co-selection
  • Outlier detection
  • Complex data clustering
  • Constrained clustering
  • Incremental clustering
  • Co-clustering
  • Privacy clustering

Applications

  • Town planning.
  • CRM.
  • Fault detection (Tyre labeling and price)
  • Neuroscience.
  • e-Marketing.
  • Health.
  • Industrial engineering.
  • Bioinformatics.
  • Webmining.