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Accelerating Discovery: Mining Unstructured Information for Hypothesis Generation - Chapman & Hall / CRC Data Mining and Knowledge Discovery Series Spangler, Scott (IBM Research, San Jose, California, USA) 1.º edición
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Accelerating Discovery: Mining Unstructured Information for Hypothesis Generation - Chapman & Hall / CRC Data Mining and Knowledge Discovery Series
Spangler, Scott (IBM Research, San Jose, California, USA)
This book describes a novel approach to scientific research that uses unstructured data analysis as a generative tool for new hypotheses. The author develops a systematic process for leveraging heterogeneous structured and unstructured data sources, data mining, and computational architectures to make the discovery process faster and more effect
308 pages
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 30 de junio de 2020 |
| ISBN13 | 9780367575472 |
| Editores | Taylor & Francis Ltd |
| Páginas | 308 |
| Dimensiones | 150 × 220 × 10 mm · 570 g |
| Lengua | Inglés |
