Colección: TEMAS
| Temas | Cantidad |
|---|---|
| Academic Performance | 1 |
| Algorithms | 1 |
| Association Rules | 1 |
| Ciencias Informáticas | 10 |
| Clustering | 2 |
| Conocimientos matemáticos previos | 1 |
| Data mining | 10 |
| Distributed databases | 1 |
| Función de Base Radial | 1 |
| Genetic Algorithm | 1 |
| Hybrid systems | 1 |
| Informática | 1 |
| Ingresantes universitarios | 1 |
| Inteligencia Artificial | 1 |
| KDD (Knowledge Discovery from Data Base) | 1 |
| Knowledge Discovery | 1 |
| Learning | 1 |
| Multilayer Perceptron | 1 |
| Neural nets | 2 |
| Patterns | 1 |
| Perceptrón multicapa | 1 |
| Previous mathematical knowledge | 1 |
| Radial Basis Function | 1 |
| Redes neuronales | 1 |
| Rendimiento académico | 1 |
| Software Architectures | 1 |
| Uncertainty, ``fuzzy,'' and probabilistic reasoning | 1 |
| University freshmen | 1 |
| User profiles and alert services | 1 |
| base de datos | 2 |
| business understanding | 1 |
| data mining | 1 |
| data minning | 1 |
| development methodology | 1 |
| entendimiento del negocio | 1 |
| hybrid systems | 1 |
| insufficient database | 1 |
| knowledge discovery | 1 |
| knowledge discovery from data base | 1 |
| knowledge discovery from databases | 1 |
| metodología de desarrollo | 1 |
| minería de datos; gestión de proyectos; knowledge; discovery in databases; explotación de información; CRISP-DM; SEMMA; Catalyst; P3TQ; metodologías en minería de datos | 1 |
| neural networks | 1 |
| patrones | 1 |
| rendimiento académico | 2 |
| supervised learning | 1 |
| taxonomy | 1 |
| universidad | 1 |