Syllabus
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Course Code: PE-CS-D401L Course Name: Data Mining Lab |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
|---|---|---|
| 1 | 1. Study of WEKA data mining tool. | |
| 2 | 2. Study of ORANGE and KNIME open source data mining tools. | |
| 3 | 3. Develop an application to identify underlying relations between different items by extracting association rule mining. | |
| 4 | 4. Develop an application for distinguishing the data classes using classification technique. | |
| 5 | 5. Develop an application for partitioning a set of data objects using clustering technique. | |
| 6 | 6. Develop an application by implementing Naive Bayes Classifier. | |
| 7 | 7. Develop an application by implementing Association Mining Rule based Apriori Algorithm. | |
| 8 | 8. Develop an application for Decision Tree from class-labeled training tuples. | |
| 9 | 9. Develop a Decision Tree from a given training data set. | |
| 10 | 10. Develop a Decision Tree with cross validation training data set. | |
| 11 | 11. Develop a Decision Tree by using prune method and reduced error pruning. Also show the accuracy for cross validation trained data set. | |
