Data Mining Lab

List of Experiments

1. Introduction and installation of WEKA tool.
   
   
2. Perform data pre-processing including cleaning, integration and transformation on ARFF files using WEKA.
   
   
3. Apply association rule mining on ARFF files using WEKA.
   
   
4. Implementation of Visualization technique on ARFF files using WEKA.
   
   
5. Implementation of Clustering technique on ARFF files using WEKA.
   
   
6. Study of DBMINER tool.
   
   
7. Apply pre-processing and classification/regression techniques on a real-world dataset.
   
   
8. Evaluate the performance of classification techniques using different parameters.
   
   
9. Implementation of Bagging and Boosting techniques on ARFF files using WEKA.
   
   
10. Apply the concept of Voting ensemble method to ARFF files and compare the results with single classifiers.