Semester 3 - Data Mining
Official Information
Important Topics
Course Name: Data Mining
Course Outcomes
| Course Outcomes | |
|---|---|
| 1 | To understand data mining process and the resulting patterns, types of data, attributes and knowledge discovery process |
| 2 | To study the different data preprocessing techniques before applying the data mining process |
| 3 | To characterize the kinds of patterns that can be discovered by association rule mining |
| 4 | To learn the different predictions, classification and clustering algorithms |
| 5 | To categorize and carefully differentiate between situations for applying different data-mining techniques for different applications. |
Syllabus
Internals and Attendance Criteria
| Code | Course Name | Attendance Eligibility Criteria | Internals Criteria (Best is considered) |
|---|---|---|---|
| 21CSA333A | Data Mining | 7 Quizzes (LMS) | 7 Quizzes & First 2 Assignments |