Syllabus
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Course Code: $ Program Elective Lab-II MTCE-132 Course Name: Data Mining Lab |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
|---|---|---|
| 1 | 1. Study of Data Mining tool. | |
| 2 | 2. Develop an application to extract association mining rule. | |
| 3 | 3. Develop an application for classification of data. | |
| 4 | 4. Develop an application for one clustering technique. | |
| 5 | 5. Develop an application for implementing Naive Bayes classifier. | |
| 6 | 6. Implementation of association mining rule –Apriori algorithm. | |
| 7 | 7. Develop an application for decision tree. | |
| 8 | 8. To create a Decision tree by training data set. | |
| 9 | 9. To create a Decision tree by cross validation training data set. | |
| 10 | 10. To create a Decision tree by using Prune mode and Reduced error Pruning and show accuracy for cross validation trained data set. | |
