Data mining

Labs

  1. Lab 1. Introduction to Weka. Decision trees.
    • Weka commands and file formats. PDF
    • Building decision trees. PDF
    • Treating numeric and multi-valued attributes. PDF
    • Lab assignment: explore decision trees. PDF
    • Datasets
  2. Lab 2. Increasing response rate of mail promotions with classifiers.
    • Business problem: inefficient mail promotions. PDF
    • Part I. Building classifiers. PDF
    • Part II. Business analysis. Lift.PDF
    • Lab assignment: different dataset - the same business problem. PDF
    • Datasets
  3. Lab 3. Text classification with Naïve Bayes.
  4. Lab 4. Evaluating and comparing classifiers.
  5. Lab 5. Using Weka classifiers in your Java program. PDF. Collaborative filtering with WEKA. K-nearest neighbour for gold purchase prediction. Movies recommender. Link
  6. Lab 6. On-line contact lenses recommendations with decision trees. Using WEKA in your Java Web application. Link
  7. Lab 7. Association rule mining with WEKA. Intro. PDF. Correlations between life expectancy, education, and income. Market basket analysis in a real dataset. Link
  8. Lab 8. Clustering with WEKA. Clustering documents. Clustering countries by cultural dimensions. Link