|
Descripción
|
|
|---|---|
| Stream-mining approach is de?ned as a set of cutting-edge techniques designed to process streams of data in real time, in order to extract knowledge. In the particular case of classi?cation, stream-mining has to adapt its behaviour to the volatile underlying data distributions, what has been called concept drift. Moreover, it is important to note that concept drift may lead to situations where predictive models become invalid and have therefore to be updated to represent the actual concepts that data poses. | |
|
Internacional
|
No |
|
ISBN
|
|
|
Tipo de Tesis
|
Doctoral |
|
Calificación
|
Apto cum laude |
|
Fecha
|
21/12/2015 |