DMData Mining Techniques

PCA25S01J

Data Mining Techniques

Practical record for I MCA (General). Pick an experiment to see its aim, procedure, output and result.

  1. 01Data ExplorationLoading and Exploring Data in WEKATo perform loading and exploring data in weka using WEKA tool.
  2. 02Data PreprocessingData Preprocessing in WEKATo perform data preprocessing in weka using WEKA tool.
  3. 03Data VisualizationData Visualization in WEKATo perform data visualization in weka using WEKA tool.
  4. 04Association RulesAssociation Rule Mining in WEKATo understand and implement Association Rule Mining using the WEKA data mining tool.
  5. 05Association RulesImplement Apriori Algorithm in WEKATo understand and implement apriori algorithm in weka using WEKA data mining tool.
  6. 06Association RulesConstraint-Based Association Rule Mining in WEKATo understand and implement constraint-based association rule mining in weka using WEKA data mining tool.
  7. 07ClassificationImplement Decision Tree Classifier Using J48 (C4.5) in WEKATo understand and implement decision tree classifier (j48) in weka using WEKA data mining tool.
  8. 08ClassificationK-Nearest Neighbors (K-NN) Classifier Using WEKATo perform k-nearest neighbors (k-nn) classifier in weka using WEKA tool.
  9. 09ClassificationSupport Vector Machine (SVM) Classifier Using WEKATo understand and implement support vector machine (svm) classifier in weka using WEKA data mining tool.
  10. 10ClusteringImplement K-Means Clustering Using WEKATo understand and implement k-means clustering in weka using WEKA data mining tool.
  11. 11ClusteringDBSCAN Clustering Using WEKATo understand and implement dbscan clustering in weka using WEKA data mining tool.
  12. 12Text MiningText Mining & Sentiment Analysis Using WEKATo understand and implement text mining and sentiment analysis in weka using WEKA data mining tool.
  13. 13Time-Series AnalysisTime-Series Analysis Using Moving Average in WEKATo understand and implement time-series analysis using moving average in weka using WEKA data mining tool.
  14. 14ClassificationDisease Prediction Using WEKA (Logistic Regression)To understand and implement disease prediction using logistic regression in weka using WEKA data mining tool.