IF25-32025
Data Mining
Description
This course prepares students to design data preprocessing and representation for data mining, and implement classification, clustering and association rule techniques on data. Study materials: Mathematical and Statistical Foundations (MSF), Data Management (DM), Artificial Intelligence (AI).
Topics
- Data preprocessing and representation for data mining
- Classification, clustering and association rule techniques for data
Course Learning Outcomes (CLO)
Each course outcome derives from one programme outcome.
Supported PLOs
- CPL07
- Design and implement methods to manage data and information in various formats.
Prerequisites
- IF25-22016 Artificial Intelligence · 3 credits · Semester 4

