Data Mining Workshop

(The WEKA Data Mining Workbench (Part I

  • Introduction to Weka
  • The Explorer: Preparing the Data
  • Building a Decision Tree
  • K-Fold Cross Validation

(The WEKA Data Mining Workbench (Part II

  • Loading and Filtering Files
  • Training and Testing Learning Schemes
  • Attribute Selection
  • Visualization

(The WEKA Data Mining Workbench (Part III

  • Filtering Algorithms
  • Discretization
  • Association-Rule Mining
  • Mining a Real-World Dataset

(The WEKA Data Mining Workbench (Part IV

  • The Knowledge Flow Interface
  • The Experimenter
  • The Command-Line Interface
  • Tutorial Exercises for the Weka Explorer