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DMCT-NOTES/unit 3/00_Index.md
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# Unit 3: Association Rule Mining
Welcome to your simplified notes for Unit 3.
## Table of Contents
1. [[01_Association_Rule_Mining|Introduction to Association Rules]]
- What is it? (Market Basket Analysis)
- Key Terms: Support, Confidence, Frequent Itemsets
2. [[02_Apriori_Algorithm|The Apriori Algorithm]]
- How it works (Join & Prune)
- Example Calculation
3. [[03_FP_Growth_Algorithm|FP-Growth Algorithm]]
- FP-Tree Structure
- Why it is faster than Apriori
4. [[04_Advanced_Pattern_Mining|Advanced Pattern Mining]]
- Closed and Maximal Patterns
- Vertical Data Format (Eclat)