Semester 4 - Distributed System
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Course Name: Distributed System
Course Outcomes
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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
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 |
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