Knowledge discovery from data streams
Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing dat...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
Chapman & Hall/CRC
2010.
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| Edición: | 1st edition |
| Colección: | Chapman & Hall/CRC data mining and knowledge discovery series.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629059306719 |
Tabla de Contenidos:
- Front cover; Contents; List of Tables; List of Figures; List of Algorithms; Foreword; Acknowledgments; Chapter 1: Knowledge Discovery from Data Streams; Chapter 2: Introduction to Data Streams; Chapter 3: Change Detection; Chapter 4: Maintaining Histograms from Data Streams; Chapter 5: Evaluating Streaming Algorithms; Chapter 6: Clustering from Data Streams; Chapter 7: Frequent Pattern Mining; Chapter 8: Decision Trees from Data Streams; Chapter 9: Novelty Detection in Data Streams; Chapter 10: Ensembles of Classiers; Chapter 11: Time Series Data Streams; Chapter 12: Ubiquitous Data Mining
- Chapter 13: Final CommentsAppendix A; Bibliography; Back cover
