Tell your friends about this item:
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) 1st edition
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
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | June 30, 2020 |
| ISBN13 | 9780367575472 |
| Publishers | Taylor & Francis Ltd |
| Pages | 308 |
| Dimensions | 150 × 220 × 10 mm · 570 g |
| Language | English |