1. Introduction; 2. Relational knowledge; 3. From data to hypotheses; 4. Clustering; 5. Information gain; 6. Knowledge and relations; 7. Rough set theory; 8. Inductive logic learning; 9. Ensemble learning; 10. The logic of knowledge; 11. Indexes and bibliography; Bibliography; Index.
Introductory textbook presenting relational methods in machine learning.
M. E. Mueller is a Professor of Computer Science at the Bonn-Rhein-Sieg University of Applied Sciences.
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