1.1. Techniques and formalisms of knowledge representation
1.2. Methodologies of knowledge acquisition
1.3. Reasoning in intelligent systems
1.4. Applications in real world
2. MACHINE LEARNING
2.1. Techniques of knowledge extraction from various data sources
2.2. Tasks and methods of machine learning
2.3. Model interpretation and comparison
3. IMPLANTATION AND IMPACT OF DATA MINING
3.1. Analytical needs and aims of businesses
3.2. Implantation of a data mining program in a business
3.3. New challenges of Knowledge Engineering
Universidade de Vigo
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Reitoría |
Campus Universitario |
C.P. 36.310 Vigo (Pontevedra) |
España |
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