| Título: | Data Mining Learning Models and Algorithms on a Scada System Data Repository |
| Autores: |
Maria Muntean; "1 Decembrie 1918" University of Alba Iulia Ioan Ileană; "1 Decembrie 1918" University of Alba Iulia Corina Rotar; "1 Decembrie 1918" University of Alba Iulia Mircea Rîşteiu; "1 Decembrie 1918" University of Alba Iulia |
| Fecha: | 2010-06-04 |
| Publicador: | BRAIN: Broad Research in Artificial Intelligence and Neuroscience |
| Fuente: |
 |
| Tipo: | |
| Tema: |
Artificial Intelligence Data Mining, SCADA System Data |
| Descripción: | This paper presents three data mining techniques appliedon a SCADA system data repository: Naijve Bayes, k-Nearest Neighbor and Decision Trees. A conclusion that k-Nearest Neighbor is a suitable method to classify the large amount of data considered is made finally according to the mining result and its reasonable explanation. The experiments are built on the training data set and evaluated using the new test set with machine learning tool WEKA. |
| Idioma: | Inglés |
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