Virtual University

Techniques to Improve Classification Accuracy: Ensemble Methods: Boosting & its advantages (V-U)

WEKA Introduction (V-U)

Techniques to Improve Classification Accuracy: Ensemble Methods: Classification of Class-Imbalanced Data Sets (V-U)

WEKA Preprocessing (V-U)

Techniques to Improve Classification Accuracy: Ensemble Methods: Introduction (V-U)

WEKA Results Visualization (V-U)

Techniques to Improve Classification Accuracy: Ensemble Methods: Random Forest & its advantages (V-U)

WEKA Run Classifier (V-U)

Text classification (V-U)

WEKA-finding Associations (V-U)

Text classification examples (V-U)

What is a data warehouse? Data warehouse architecture (V-U)

Text Classification:Formalization (V-U)

What is a data warehouse? Data warehouse models, tools and techniques (V-U)

Text Mining Introduction (V-U)

What is a data warehouse? Data warehouse vs DBMS (V-U)

Tokenization& issues in tokenization (V-U)

What is a data warehouse? Introduction (V-U)

Web Mining Introduction (V-U)

What is a data warehouse? Metadata Repository (V-U)

Web Mining Question (V-U)

What is a data warehouse? Subject-Oriented (V-U)

Web Mining Usage (V-U)

Which Patterns Are Interesting?—Pattern Evaluation Methods: Comparison of interest Measures (V-U)

Web Search (V-U)