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This document contains a lesson plan for a Data Mining course taught over 8 units and 33 sessions. The plan lists the content covered in each session, including introductions to key data mining tasks, techniques for data preprocessing, classification algorithms like decision trees and nearest neighbors, association analysis methods, and applications. Sessions involve lectures, discussions, examples, and assignments to explain concepts and engage students.

Author

jain

Language

EN