Data Mining - Machine learning
This document explores the role of machine learning in data mining, covering supervised, unsupervised, and semi-supervised learning models. It explains how algorithms like decision trees, k-means clustering, support vector machines, and neural networks are applied to extract meaningful patterns from data. It also discusses model evaluation and the synergy between machine learning and traditional data mining processes. Suitable for students studying data mining, machine learning, or AI.
Written for
- Institution
- DTC
- Course
- Data Mining
Document information
- Uploaded on
- July 12, 2025
- Number of pages
- 23
- Written in
- 2024/2025
- Type
- Class notes
- Professor(s)
- *
- Contains
- All classes
Subjects
-
data mining
-
machine learning
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