University · Business Informatics · Data Science and Business Analytics
Data Mining Techniques and Business Applications
5 Abschnitte1 Karteikarten-Decks1 Quizze
A survey of core data mining techniques -- classification, clustering, and association rule mining -- framed through their business applications in credit scoring, customer segmentation, and market basket analysis, together with the evaluation metrics and governance considerations organizations must apply when deploying them.
Inhaltsübersicht
- What Is Data Mining? From Databases to Business Insight
- Classification and Prediction: Techniques and Business Use Cases
- Clustering and Association Rule Mining for Customer Insight
- Evaluating Data Mining Models: Business Metrics Beyond Accuracy
- Governance, Ethics, and Limitations in Organizational Data Mining Practice
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