Types of Data Mining Tasks
Data Science · Further Education · Data Mining and Analysis
This unit introduces the various types of data mining tasks, including classification, clustering, association rule mining, and anomaly detection. Students will learn the techniques and applications of each task, enabling them to extract valuable insights from data.
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Das gehört dazu
- Supervised Learning vs. Unsupervised Learning
- Classification Algorithms (e.g.
- Decision Trees
- Naive Bayes)
- Clustering Algorithms (e.g.
- K-Means
- Hierarchical Clustering)
- Association Rule Mining Algorithms (e.g.
- Apriori
- FP-Growth)
- Anomaly Detection Techniques (e.g.
- Statistical Methods
Stichworte
- Data Mining
- Classification
- Clustering
- Association Rule Mining
- Anomaly Detection
- Supervised Learning
- Unsupervised Learning
- Machine Learning