In many modem applications, data are best modeled not as persistent tables but as transient data streams. Traditional methods of knowledge discovery do notwork well in dynamic environments, where data continuously flow at high speeds. Presenting current research on knowledge discovery methods for data streams, this book provides a comprehensive introduction to this cutting-edge area ofresearch in data mining and machine learning. Focusing on a variety of data stream mining algorithms, it covers basic streaming methods, exploratory modelsfrom data streams, and predictive models.
- ISBN: 978-1-4398-2611-9
- Editorial: Chapman & Hall/CRC Statistics and Mathem
- Encuadernacion: Tela
- Páginas: 256
- Fecha Publicación: 04/06/2010
- Nº Volúmenes: 1
- Idioma: Inglés