Association Rule Mining
Data Science · University of Applied Sciences · Machine Learning
This unit introduces the Apriori algorithm, a fundamental technique for discovering association rules in market basket data. Students will learn how to apply this algorithm to identify hidden patterns and relationships within customer transactions, enabling them to make informed decisions and improve business outcomes.
Zum Üben gibt es 54 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Association Rule Mining
- Apriori Algorithm
- Support and Confidence Measures
- Association Rule Generation
- Applications in Market Basket Analysis
- Case Studies and Examples
Stichworte
- Association Rules
- Market Basket Analysis
- Unsupervised Learning
- Data Mining
- Customer Behavior
- Retail Analytics